Pandas Profiling Report

Dataset statistics

Number of variables	36
Number of observations	2361
Missing cells	1581
Missing cells (%)	1.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	666.3 KiB
Average record size in memory	289.0 B

Variable types

Categorical	23
Numeric	9
Boolean	1
Text	3

Alerts

`Type` has constant value ""	Constant
`mobileInputSelector` has constant value ""	Constant
`continent` has constant value ""	Constant
`fullVisitorId` is highly overall correlated with `total_visit_counts` and 18 other fields	High correlation
`onPageTime` is highly overall correlated with `nextTime` and 1 other fields	High correlation
`nextTime` is highly overall correlated with `onPageTime` and 1 other fields	High correlation
`user_active_days` is highly overall correlated with `total_unique_session` and 19 other fields	High correlation
`total_visit_counts` is highly overall correlated with `fullVisitorId` and 18 other fields	High correlation
`total_unique_session` is highly overall correlated with `user_active_days` and 17 other fields	High correlation
`total_time_spent` is highly overall correlated with `fullVisitorId` and 16 other fields	High correlation
`time_spent_per_session` is highly overall correlated with `onPageTime` and 1 other fields	High correlation
`AudienceID` is highly overall correlated with `fullVisitorId` and 20 other fields	High correlation
`LotameID` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`y` is highly overall correlated with `fullVisitorId` and 20 other fields	High correlation
`Name` is highly overall correlated with `fullVisitorId` and 20 other fields	High correlation
`browser` is highly overall correlated with `fullVisitorId` and 15 other fields	High correlation
`operatingSystem` is highly overall correlated with `fullVisitorId` and 18 other fields	High correlation
`operatingSystemVersion` is highly overall correlated with `AudienceID` and 13 other fields	High correlation
`isMobile` is highly overall correlated with `fullVisitorId` and 18 other fields	High correlation
`mobileDeviceBranding` is highly overall correlated with `user_active_days` and 22 other fields	High correlation
`mobileDeviceModel` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`mobileDeviceInfo` is highly overall correlated with `fullVisitorId` and 22 other fields	High correlation
`mobileDeviceMarketingName` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`screenResolution` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`language` is highly overall correlated with `user_active_days` and 8 other fields	High correlation
`subContinent` is highly overall correlated with `fullVisitorId` and 13 other fields	High correlation
`country` is highly overall correlated with `fullVisitorId` and 17 other fields	High correlation
`region` is highly overall correlated with `fullVisitorId` and 21 other fields	High correlation
`city` is highly overall correlated with `fullVisitorId` and 22 other fields	High correlation
`GAClientId` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`cookie_id` is highly overall correlated with `fullVisitorId` and 23 other fields	High correlation
`LotameID` is highly imbalanced (57.4%)	Imbalance
`browser` is highly imbalanced (70.6%)	Imbalance
`operatingSystem` is highly imbalanced (68.2%)	Imbalance
`operatingSystemVersion` is highly imbalanced (74.4%)	Imbalance
`isMobile` is highly imbalanced (68.2%)	Imbalance
`mobileDeviceBranding` is highly imbalanced (74.6%)	Imbalance
`mobileDeviceModel` is highly imbalanced (61.1%)	Imbalance
`mobileDeviceInfo` is highly imbalanced (57.4%)	Imbalance
`mobileDeviceMarketingName` is highly imbalanced (60.6%)	Imbalance
`screenResolution` is highly imbalanced (51.6%)	Imbalance
`language` is highly imbalanced (56.8%)	Imbalance
`subContinent` is highly imbalanced (91.0%)	Imbalance
`country` is highly imbalanced (73.5%)	Imbalance
`region` is highly imbalanced (50.4%)	Imbalance
`city` is highly imbalanced (52.8%)	Imbalance
`GAClientId` is highly imbalanced (57.4%)	Imbalance
`mobileDeviceBranding` has 136 (5.8%) missing values	Missing
`mobileDeviceModel` has 136 (5.8%) missing values	Missing
`mobileInputSelector` has 136 (5.8%) missing values	Missing
`mobileDeviceMarketingName` has 136 (5.8%) missing values	Missing
`sub_sec` has 1036 (43.9%) missing values	Missing
`onPageTime` has 74 (3.1%) zeros	Zeros

Reproduction

Analysis started	2023-06-07 13:51:34.415253
Analysis finished	2023-06-07 13:51:52.090751
Duration	17.68 seconds
Software version	ydata-profiling vv4.2.0
Download configuration	config.json

AudienceID
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

809024	1436
818744	623
809023	302

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	14166
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	818744
2nd row	818744
3rd row	818744
4th row	809023
5th row	809023

Common Values

Value	Count	Frequency (%)
809024	1436	60.8%
818744	623	26.4%
809023	302	12.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
809024	1436	60.8%
818744	623	26.4%
809023	302	12.8%

Most occurring characters

Value	Count	Frequency (%)
0	3476	24.5%
8	2984	21.1%
4	2682	18.9%
9	1738	12.3%
2	1738	12.3%
1	623	4.4%
7	623	4.4%
3	302	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14166	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3476	24.5%
8	2984	21.1%
4	2682	18.9%
9	1738	12.3%
2	1738	12.3%
1	623	4.4%
7	623	4.4%
3	302	2.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	14166	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3476	24.5%
8	2984	21.1%
4	2682	18.9%
9	1738	12.3%
2	1738	12.3%
1	623	4.4%
7	623	4.4%
3	302	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14166	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3476	24.5%
8	2984	21.1%
4	2682	18.9%
9	1738	12.3%
2	1738	12.3%
1	623	4.4%
7	623	4.4%
3	302	2.1%

LotameID
Categorical

HIGH CORRELATION IMBALANCE

Distinct	42
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

196c30f4cdae19dd70c4d634a38b6b37	1320
846349b894fb8ab473d5940ec70cae0	519
bf8e8d0a3026f468d80969ab351af4ce	144
81f5fed7165c2ab7995465dbf6d5ee61	68
37d0d3bf3d3c48261908dddd9cbf02cc	39
Other values (37)	271

Length

Max length	32
Median length	32
Mean length	31.777213
Min length	31

Characters and Unicode

Total characters	75026
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.5%

Sample

1st row	cbb561a1af5a40eb684d55a8c0b2047a
2nd row	cbb561a1af5a40eb684d55a8c0b2047a
3rd row	cbb561a1af5a40eb684d55a8c0b2047a
4th row	e74bb87a1abb30abf105f2900a65e842
5th row	e74bb87a1abb30abf105f2900a65e842

Common Values

Value	Count	Frequency (%)
196c30f4cdae19dd70c4d634a38b6b37	1320	55.9%
846349b894fb8ab473d5940ec70cae0	519	22.0%
bf8e8d0a3026f468d80969ab351af4ce	144	6.1%
81f5fed7165c2ab7995465dbf6d5ee61	68	2.9%
37d0d3bf3d3c48261908dddd9cbf02cc	39	1.7%
9d0a70aa93abb38ecf4bd5c5c958e481	30	1.3%
444b57aeb4a368852b342a19bfe668a3	30	1.3%
9460c27b3ef92bc516bd63956d48f00f	28	1.2%
5c0da43ae39ee33d96147196c726d45c	25	1.1%
808a7d14ad2bc2eb19aeaa0b7ee9133d	19	0.8%
Other values (32)	139	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
196c30f4cdae19dd70c4d634a38b6b37	1320	55.9%
846349b894fb8ab473d5940ec70cae0	519	22.0%
bf8e8d0a3026f468d80969ab351af4ce	144	6.1%
81f5fed7165c2ab7995465dbf6d5ee61	68	2.9%
37d0d3bf3d3c48261908dddd9cbf02cc	39	1.7%
9d0a70aa93abb38ecf4bd5c5c958e481	30	1.3%
444b57aeb4a368852b342a19bfe668a3	30	1.3%
9460c27b3ef92bc516bd63956d48f00f	28	1.2%
5c0da43ae39ee33d96147196c726d45c	25	1.1%
f301629668799c18317f0efd9ae7da61	19	0.8%
Other values (32)	139	5.9%

Most occurring characters

Value	Count	Frequency (%)
4	7540	10.0%
3	7436	9.9%
d	7076	9.4%
c	5880	7.8%
6	5793	7.7%
b	5376	7.2%
9	5294	7.1%
0	5231	7.0%
a	4830	6.4%
7	4294	5.7%
Other values (6)	16276	21.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	45391	60.5%
Lowercase Letter	29635	39.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	7540	16.6%
3	7436	16.4%
6	5793	12.8%
9	5294	11.7%
0	5231	11.5%
7	4294	9.5%
8	4050	8.9%
1	3486	7.7%
5	1531	3.4%
2	736	1.6%

Lowercase Letter

Value	Count	Frequency (%)
d	7076	23.9%
c	5880	19.8%
b	5376	18.1%
a	4830	16.3%
e	3463	11.7%
f	3010	10.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	45391	60.5%
Latin	29635	39.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	7540	16.6%
3	7436	16.4%
6	5793	12.8%
9	5294	11.7%
0	5231	11.5%
7	4294	9.5%
8	4050	8.9%
1	3486	7.7%
5	1531	3.4%
2	736	1.6%

Latin

Value	Count	Frequency (%)
d	7076	23.9%
c	5880	19.8%
b	5376	18.1%
a	4830	16.3%
e	3463	11.7%
f	3010	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	75026	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	7540	10.0%
3	7436	9.9%
d	7076	9.4%
c	5880	7.8%
6	5793	7.7%
b	5376	7.2%
9	5294	7.1%
0	5231	7.0%
a	4830	6.4%
7	4294	5.7%
Other values (6)	16276	21.7%

y
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

10000	1436
0	623
5000	302

Length

Max length	5
Median length	5
Mean length	3.8166031
Min length	1

Characters and Unicode

Total characters	9011
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	5000
5th row	5000

Common Values

Value	Count	Frequency (%)
10000	1436	60.8%
0	623	26.4%
5000	302	12.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
10000	1436	60.8%
0	623	26.4%
5000	302	12.8%

Most occurring characters

Value	Count	Frequency (%)
0	7273	80.7%
1	1436	15.9%
5	302	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9011	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7273	80.7%
1	1436	15.9%
5	302	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	9011	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7273	80.7%
1	1436	15.9%
5	302	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9011	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7273	80.7%
1	1436	15.9%
5	302	3.4%

Name
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

RMG - 1PD - Declared - HHI - RM5k - 10k+	1436
RMG - 1PD - Declared - HHI - <RM1,500	623
RMG - 1PD - Declared - HHI - RM1.5K - RM5K	302

Length

Max length	43
Median length	41
Mean length	40.46421
Min length	38

Characters and Unicode

Total characters	95536
Distinct characters	25
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RMG - 1PD - Declared - HHI - <RM1,500
2nd row	RMG - 1PD - Declared - HHI - <RM1,500
3rd row	RMG - 1PD - Declared - HHI - <RM1,500
4th row	RMG - 1PD - Declared - HHI - RM1.5K - RM5K
5th row	RMG - 1PD - Declared - HHI - RM1.5K - RM5K

Common Values

Value	Count	Frequency (%)
RMG - 1PD - Declared - HHI - RM5k - 10k+	1436	60.8%
RMG - 1PD - Declared - HHI - <RM1,500	623	26.4%
RMG - 1PD - Declared - HHI - RM1.5K - RM5K	302	12.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	11182	45.2%
rmg	2361	9.5%
1pd	2361	9.5%
declared	2361	9.5%
hhi	2361	9.5%
rm5k	1738	7.0%
10k	1436	5.8%
rm1,500	623	2.5%
rm1.5k	302	1.2%

Most occurring characters

Value	Count	Frequency (%)
	22364	23.4%
-	11182	11.7%
R	5024	5.3%
M	5024	5.3%
H	4722	4.9%
1	4722	4.9%
D	4722	4.9%
e	4722	4.9%
k	2872	3.0%
0	2682	2.8%
Other values (15)	27500	28.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	27179	28.4%
Space Separator	22364	23.4%
Lowercase Letter	19399	20.3%
Dash Punctuation	11182	11.7%
Decimal Number	10067	10.5%
Control	2361	2.5%
Math Symbol	2059	2.2%
Other Punctuation	925	1.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	5024	18.5%
M	5024	18.5%
H	4722	17.4%
D	4722	17.4%
I	2361	8.7%
P	2361	8.7%
G	2361	8.7%
K	604	2.2%

Lowercase Letter

Value	Count	Frequency (%)
e	4722	24.3%
k	2872	14.8%
r	2361	12.2%
d	2361	12.2%
a	2361	12.2%
l	2361	12.2%
c	2361	12.2%

Decimal Number

Value	Count	Frequency (%)
1	4722	46.9%
0	2682	26.6%
5	2663	26.5%

Math Symbol

Value	Count	Frequency (%)
+	1436	69.7%
<	623	30.3%

Other Punctuation

Value	Count	Frequency (%)
,	623	67.4%
.	302	32.6%

Space Separator

Value	Count	Frequency (%)
	22364	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11182	100.0%

Control

Value	Count	Frequency (%)
	2361	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	48958	51.2%
Latin	46578	48.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	5024	10.8%
M	5024	10.8%
H	4722	10.1%
D	4722	10.1%
e	4722	10.1%
k	2872	6.2%
I	2361	5.1%
r	2361	5.1%
d	2361	5.1%
a	2361	5.1%
Other values (5)	10048	21.6%

Common

Value	Count	Frequency (%)
	22364	45.7%
-	11182	22.8%
1	4722	9.6%
0	2682	5.5%
5	2663	5.4%
	2361	4.8%
+	1436	2.9%
<	623	1.3%
,	623	1.3%
.	302	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	95536	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22364	23.4%
-	11182	11.7%
R	5024	5.3%
M	5024	5.3%
H	4722	4.9%
1	4722	4.9%
D	4722	4.9%
e	4722	4.9%
k	2872	3.0%
0	2682	2.8%
Other values (15)	27500	28.8%

Type
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

HHI	2361

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	7083
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HHI
2nd row	HHI
3rd row	HHI
4th row	HHI
5th row	HHI

Common Values

Value	Count	Frequency (%)
HHI	2361	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hhi	2361	100.0%

Most occurring characters

Value	Count	Frequency (%)
H	4722	66.7%
I	2361	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7083	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
H	4722	66.7%
I	2361	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7083	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	4722	66.7%
I	2361	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7083	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	4722	66.7%
I	2361	33.3%

fullVisitorId
Real number (ℝ)

Distinct	42
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.5315081 × 10¹⁸

Minimum	9.7055929 × 10¹⁶
Maximum	1.6948168 × 10¹⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	9.7055929 × 10¹⁶
5-th percentile	5.1309189 × 10¹⁷
Q1	5.1979895 × 10¹⁸
median	8.5478763 × 10¹⁸
Q3	8.5478763 × 10¹⁸
95-th percentile	8.5478763 × 10¹⁸
Maximum	1.6948168 × 10¹⁹
Range	1.6851112 × 10¹⁹
Interquartile range (IQR)	3.3498868 × 10¹⁸

Descriptive statistics

Standard deviation	2.6939493 × 10¹⁸
Coefficient of variation (CV)	0.41245441
Kurtosis	-0.15095488
Mean	6.5315081 × 10¹⁸
Median Absolute Deviation (MAD)	0
Skewness	-0.98803325
Sum	1.5420891 × 10²²
Variance	7.257363 × 10³⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
8.547876345 × 10¹⁸	1320	55.9%
5.197989545 × 10¹⁸	519	22.0%
5.130918873 × 10¹⁷	144	6.1%
1.483772561 × 10¹⁸	68	2.9%
6.287112969 × 10¹⁸	39	1.7%
3.414056058 × 10¹⁸	30	1.3%
1.825853035 × 10¹⁸	30	1.3%
3.451615186 × 10¹⁸	28	1.2%
6.927050101 × 10¹⁷	25	1.1%
9.121685819 × 10¹⁸	19	0.8%
Other values (32)	139	5.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.705592879 × 10¹⁶	7	0.3%
3.140949715 × 10¹⁷	1	< 0.1%
5.130918873 × 10¹⁷	144	6.1%
6.927050101 × 10¹⁷	25	1.1%
8.137922027 × 10¹⁷	4	0.2%
1.158781766 × 10¹⁸	3	0.1%
1.316008587 × 10¹⁸	2	0.1%
1.345556032 × 10¹⁸	5	0.2%
1.483772561 × 10¹⁸	68	2.9%
1.654204474 × 10¹⁸	1	< 0.1%

Value	Count	Frequency (%)
1.694816805 × 10¹⁹	1	< 0.1%
1.053134259 × 10¹⁹	3	0.1%
9.121685819 × 10¹⁸	19	0.8%
8.70898808 × 10¹⁸	1	< 0.1%
8.547876345 × 10¹⁸	1320	55.9%
8.017158308 × 10¹⁸	2	0.1%
7.791512354 × 10¹⁸	4	0.2%
7.690537217 × 10¹⁸	2	0.1%
7.509468616 × 10¹⁸	7	0.3%
7.213995735 × 10¹⁸	1	< 0.1%

browser
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Chrome	2164
Android Webview	167
Samsung Internet	30

Length

Max length	16
Median length	6
Mean length	6.7636595
Min length	6

Characters and Unicode

Total characters	15969
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Chrome
2nd row	Chrome
3rd row	Chrome
4th row	Chrome
5th row	Chrome

Common Values

Value	Count	Frequency (%)
Chrome	2164	91.7%
Android Webview	167	7.1%
Samsung Internet	30	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
chrome	2164	84.6%
android	167	6.5%
webview	167	6.5%
samsung	30	1.2%
internet	30	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	2558	16.0%
r	2361	14.8%
o	2331	14.6%
m	2194	13.7%
C	2164	13.6%
h	2164	13.6%
d	334	2.1%
i	334	2.1%
n	257	1.6%
	197	1.2%
Other values (12)	1075	6.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13214	82.7%
Uppercase Letter	2558	16.0%
Space Separator	197	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2558	19.4%
r	2361	17.9%
o	2331	17.6%
m	2194	16.6%
h	2164	16.4%
d	334	2.5%
i	334	2.5%
n	257	1.9%
v	167	1.3%
w	167	1.3%
Other values (6)	347	2.6%

Uppercase Letter

Value	Count	Frequency (%)
C	2164	84.6%
W	167	6.5%
A	167	6.5%
S	30	1.2%
I	30	1.2%

Space Separator

Value	Count	Frequency (%)
	197	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15772	98.8%
Common	197	1.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2558	16.2%
r	2361	15.0%
o	2331	14.8%
m	2194	13.9%
C	2164	13.7%
h	2164	13.7%
d	334	2.1%
i	334	2.1%
n	257	1.6%
v	167	1.1%
Other values (11)	908	5.8%

Common

Value	Count	Frequency (%)
	197	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15969	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2558	16.0%
r	2361	14.8%
o	2331	14.6%
m	2194	13.7%
C	2164	13.6%
h	2164	13.6%
d	334	2.1%
i	334	2.1%
n	257	1.6%
	197	1.2%
Other values (12)	1075	6.7%

operatingSystem
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Android	2225
Windows	136

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	16527
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Android
2nd row	Android
3rd row	Android
4th row	Windows
5th row	Windows

Common Values

Value	Count	Frequency (%)
Android	2225	94.2%
Windows	136	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
android	2225	94.2%
windows	136	5.8%

Most occurring characters

Value	Count	Frequency (%)
d	4586	27.7%
n	2361	14.3%
o	2361	14.3%
i	2361	14.3%
A	2225	13.5%
r	2225	13.5%
W	136	0.8%
w	136	0.8%
s	136	0.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14166	85.7%
Uppercase Letter	2361	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	4586	32.4%
n	2361	16.7%
o	2361	16.7%
i	2361	16.7%
r	2225	15.7%
w	136	1.0%
s	136	1.0%

Uppercase Letter

Value	Count	Frequency (%)
A	2225	94.2%
W	136	5.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16527	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	4586	27.7%
n	2361	14.3%
o	2361	14.3%
i	2361	14.3%
A	2225	13.5%
r	2225	13.5%
W	136	0.8%
w	136	0.8%
s	136	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16527	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	4586	27.7%
n	2361	14.3%
o	2361	14.3%
i	2361	14.3%
A	2225	13.5%
r	2225	13.5%
W	136	0.8%
w	136	0.8%
s	136	0.8%

operatingSystemVersion
Categorical

HIGH CORRELATION IMBALANCE

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

11	1895
10	402
9	38
8.0.0	8
8.1.0	6
Other values (6)	12

Length

Max length	5
Median length	2
Mean length	2.0072003
Min length	1

Characters and Unicode

Total characters	4739
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	8.1.0
2nd row	8.1.0
3rd row	8.1.0
4th row	7
5th row	7

Common Values

Value	Count	Frequency (%)
11	1895	80.3%
10	402	17.0%
9	38	1.6%
8.0.0	8	0.3%
8.1.0	6	0.3%
8.1	4	0.2%
7	3	0.1%
7.1.1	2	0.1%
12	1	< 0.1%
6.0.1	1	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11	1895	80.3%
10	402	17.0%
9	38	1.6%
8.0.0	8	0.3%
8.1.0	6	0.3%
8.1	4	0.2%
7	3	0.1%
7.1.1	2	0.1%
12	1	< 0.1%
6.0.1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	4209	88.8%
0	425	9.0%
.	40	0.8%
9	38	0.8%
8	18	0.4%
7	6	0.1%
2	2	< 0.1%
6	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4699	99.2%
Other Punctuation	40	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4209	89.6%
0	425	9.0%
9	38	0.8%
8	18	0.4%
7	6	0.1%
2	2	< 0.1%
6	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4739	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4209	88.8%
0	425	9.0%
.	40	0.8%
9	38	0.8%
8	18	0.4%
7	6	0.1%
2	2	< 0.1%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4739	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4209	88.8%
0	425	9.0%
.	40	0.8%
9	38	0.8%
8	18	0.4%
7	6	0.1%
2	2	< 0.1%
6	1	< 0.1%

isMobile
Boolean

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.8 KiB

True	2225
False	136

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	2225	94.2%
False	136	5.8%

mobileDeviceBranding
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	10
Distinct (%)	0.4%
Missing	136
Missing (%)	5.8%
Memory size	36.9 KiB

Samsung	1911
Huawei	200
Xiaomi	42
Vivo	23
Razer	19
Other values (5)	30

Length

Max length	7
Median length	7
Mean length	6.814382
Min length	4

Characters and Unicode

Total characters	15162
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Xiaomi
2nd row	Xiaomi
3rd row	Xiaomi
4th row	Samsung
5th row	Samsung

Common Values

Value	Count	Frequency (%)
Samsung	1911	80.9%
Huawei	200	8.5%
Xiaomi	42	1.8%
Vivo	23	1.0%
Razer	19	0.8%
Nokia	16	0.7%
Asus	5	0.2%
OPPO	4	0.2%
Realme	4	0.2%
Neffos	1	< 0.1%
(Missing)	136	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
samsung	1911	85.9%
huawei	200	9.0%
xiaomi	42	1.9%
vivo	23	1.0%
razer	19	0.9%
nokia	16	0.7%
asus	5	0.2%
oppo	4	0.2%
realme	4	0.2%
neffos	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
a	2192	14.5%
u	2116	14.0%
m	1957	12.9%
s	1922	12.7%
S	1911	12.6%
n	1911	12.6%
g	1911	12.6%
i	323	2.1%
e	228	1.5%
H	200	1.3%
Other values (15)	491	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12925	85.2%
Uppercase Letter	2237	14.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2192	17.0%
u	2116	16.4%
m	1957	15.1%
s	1922	14.9%
n	1911	14.8%
g	1911	14.8%
i	323	2.5%
e	228	1.8%
w	200	1.5%
o	82	0.6%
Other values (6)	83	0.6%

Uppercase Letter

Value	Count	Frequency (%)
S	1911	85.4%
H	200	8.9%
X	42	1.9%
V	23	1.0%
R	23	1.0%
N	17	0.8%
O	8	0.4%
P	8	0.4%
A	5	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15162	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2192	14.5%
u	2116	14.0%
m	1957	12.9%
s	1922	12.7%
S	1911	12.6%
n	1911	12.6%
g	1911	12.6%
i	323	2.1%
e	228	1.5%
H	200	1.3%
Other values (15)	491	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15162	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2192	14.5%
u	2116	14.0%
m	1957	12.9%
s	1922	12.7%
S	1911	12.6%
n	1911	12.6%
g	1911	12.6%
i	323	2.1%
e	228	1.5%
H	200	1.3%
Other values (15)	491	3.2%

mobileDeviceModel
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	33
Distinct (%)	1.5%
Missing	136
Missing (%)	5.8%
Memory size	36.9 KiB

SM-N975F	1320
SM-A505F	520
YAL-L21	150
Redmi Note 9S	39
SM-G960F	30
Other values (28)	166

Length

Max length	13
Median length	8
Mean length	7.9006742
Min length	2

Characters and Unicode

Total characters	17579
Distinct characters	41
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.4%

Sample

1st row	Redmi 6A
2nd row	Redmi 6A
3rd row	Redmi 6A
4th row	SM-J730G
5th row	SM-J730G

Common Values

Value	Count	Frequency (%)
SM-N975F	1320	55.9%
SM-A505F	520	22.0%
YAL-L21	150	6.4%
Redmi Note 9S	39	1.7%
SM-G960F	30	1.3%
MAR-LX2	30	1.3%
1819	19	0.8%
Phone 2	19	0.8%
SM-N770F	18	0.8%
3.2	16	0.7%
Other values (23)	64	2.7%
(Missing)	136	5.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sm-n975f	1320	56.7%
sm-a505f	520	22.4%
yal-l21	150	6.4%
redmi	42	1.8%
note	39	1.7%
9s	39	1.7%
sm-g960f	30	1.3%
mar-lx2	30	1.3%
2	19	0.8%
1819	19	0.8%
Other values (27)	118	5.1%

Most occurring characters

Value	Count	Frequency (%)
5	2366	13.5%
-	2111	12.0%
M	1955	11.1%
S	1950	11.1%
F	1903	10.8%
9	1436	8.2%
N	1397	7.9%
7	1359	7.7%
A	705	4.0%
0	611	3.5%
Other values (31)	1786	10.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8665	49.3%
Decimal Number	6325	36.0%
Dash Punctuation	2111	12.0%
Lowercase Letter	361	2.1%
Space Separator	101	0.6%
Other Punctuation	16	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	1955	22.6%
S	1950	22.5%
F	1903	22.0%
N	1397	16.1%
A	705	8.1%
L	365	4.2%
Y	152	1.8%
R	77	0.9%
X	47	0.5%
G	42	0.5%
Other values (10)	72	0.8%

Decimal Number

Value	Count	Frequency (%)
5	2366	37.4%
9	1436	22.7%
7	1359	21.5%
0	611	9.7%
2	237	3.7%
1	212	3.4%
6	51	0.8%
8	27	0.4%
3	21	0.3%
4	5	0.1%

Lowercase Letter

Value	Count	Frequency (%)
e	100	27.7%
o	58	16.1%
i	42	11.6%
m	42	11.6%
d	42	11.6%
t	39	10.8%
n	19	5.3%
h	19	5.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2111	100.0%

Space Separator

Value	Count	Frequency (%)
	101	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9026	51.3%
Common	8553	48.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	1955	21.7%
S	1950	21.6%
F	1903	21.1%
N	1397	15.5%
A	705	7.8%
L	365	4.0%
Y	152	1.7%
e	100	1.1%
R	77	0.9%
o	58	0.6%
Other values (18)	364	4.0%

Common

Value	Count	Frequency (%)
5	2366	27.7%
-	2111	24.7%
9	1436	16.8%
7	1359	15.9%
0	611	7.1%
2	237	2.8%
1	212	2.5%
	101	1.2%
6	51	0.6%
8	27	0.3%
Other values (3)	42	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17579	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	2366	13.5%
-	2111	12.0%
M	1955	11.1%
S	1950	11.1%
F	1903	10.8%
9	1436	8.2%
N	1397	7.9%
7	1359	7.7%
A	705	4.0%
0	611	3.5%
Other values (31)	1786	10.2%

mobileInputSelector
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	< 0.1%
Missing	136
Missing (%)	5.8%
Memory size	36.9 KiB

touchscreen	2225

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	24475
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	touchscreen
2nd row	touchscreen
3rd row	touchscreen
4th row	touchscreen
5th row	touchscreen

Common Values

Value	Count	Frequency (%)
touchscreen	2225	94.2%
(Missing)	136	5.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
touchscreen	2225	100.0%

Most occurring characters

Value	Count	Frequency (%)
c	4450	18.2%
e	4450	18.2%
t	2225	9.1%
o	2225	9.1%
u	2225	9.1%
h	2225	9.1%
s	2225	9.1%
r	2225	9.1%
n	2225	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24475	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	4450	18.2%
e	4450	18.2%
t	2225	9.1%
o	2225	9.1%
u	2225	9.1%
h	2225	9.1%
s	2225	9.1%
r	2225	9.1%
n	2225	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24475	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	4450	18.2%
e	4450	18.2%
t	2225	9.1%
o	2225	9.1%
u	2225	9.1%
h	2225	9.1%
s	2225	9.1%
r	2225	9.1%
n	2225	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24475	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	4450	18.2%
e	4450	18.2%
t	2225	9.1%
o	2225	9.1%
u	2225	9.1%
h	2225	9.1%
s	2225	9.1%
r	2225	9.1%
n	2225	9.1%

mobileDeviceInfo
Categorical

HIGH CORRELATION IMBALANCE

Distinct	34
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Samsung SM-N975F Galaxy Note10+	1320
Samsung SM-A505F Galaxy A50	520
Huawei YAL-L21 Honor 20	150
(not set)	136
Xiaomi Redmi Note 9S	39
Other values (29)	196

Length

Max length	39
Median length	31
Mean length	27.399831
Min length	9

Characters and Unicode

Total characters	64691
Distinct characters	59
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.4%

Sample

1st row	Xiaomi Redmi 6A
2nd row	Xiaomi Redmi 6A
3rd row	Xiaomi Redmi 6A
4th row	(not set)
5th row	(not set)

Common Values

Value	Count	Frequency (%)
Samsung SM-N975F Galaxy Note10+	1320	55.9%
Samsung SM-A505F Galaxy A50	520	22.0%
Huawei YAL-L21 Honor 20	150	6.4%
(not set)	136	5.8%
Xiaomi Redmi Note 9S	39	1.7%
Samsung SM-G960F Galaxy S9	30	1.3%
Huawei MAR-LX2 Nova 4e	30	1.3%
Vivo 1819 V15	19	0.8%
Razer Phone 2	19	0.8%
Samsung SM-N770F Galaxy Note10 Lite	18	0.8%
Other values (24)	80	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
samsung	1911	20.9%
galaxy	1911	20.9%
note10	1339	14.7%
sm-n975f	1320	14.5%
sm-a505f	520	5.7%
a50	520	5.7%
huawei	200	2.2%
yal-l21	150	1.6%
honor	150	1.6%
20	150	1.6%
Other values (73)	957	10.5%

Most occurring characters

Value	Count	Frequency (%)
	6767	10.5%
a	6059	9.4%
S	3891	6.0%
5	2908	4.5%
N	2801	4.3%
0	2640	4.1%
n	2232	3.5%
u	2116	3.3%
-	2111	3.3%
s	2058	3.2%
Other values (49)	31108	48.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28611	44.2%
Uppercase Letter	15027	23.2%
Decimal Number	10549	16.3%
Space Separator	6767	10.5%
Dash Punctuation	2111	3.3%
Math Symbol	1320	2.0%
Open Punctuation	145	0.2%
Close Punctuation	145	0.2%
Other Punctuation	16	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	3891	25.9%
N	2801	18.6%
M	1968	13.1%
G	1953	13.0%
F	1904	12.7%
A	1233	8.2%
L	396	2.6%
H	356	2.4%
Y	153	1.0%
R	100	0.7%
Other values (12)	272	1.8%

Lowercase Letter

Value	Count	Frequency (%)
a	6059	21.2%
n	2232	7.8%
u	2116	7.4%
s	2058	7.2%
m	2002	7.0%
o	1977	6.9%
x	1916	6.7%
l	1915	6.7%
y	1911	6.7%
g	1911	6.7%
Other values (11)	4514	15.8%

Decimal Number

Value	Count	Frequency (%)
5	2908	27.6%
0	2640	25.0%
1	1592	15.1%
9	1478	14.0%
7	1368	13.0%
2	410	3.9%
6	62	0.6%
4	35	0.3%
8	33	0.3%
3	23	0.2%

Space Separator

Value	Count	Frequency (%)
	6767	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2111	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1320	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	145	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	145	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43638	67.5%
Common	21053	32.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6059	13.9%
S	3891	8.9%
N	2801	6.4%
n	2232	5.1%
u	2116	4.8%
s	2058	4.7%
m	2002	4.6%
o	1977	4.5%
M	1968	4.5%
G	1953	4.5%
Other values (33)	16581	38.0%

Common

Value	Count	Frequency (%)
	6767	32.1%
5	2908	13.8%
0	2640	12.5%
-	2111	10.0%
1	1592	7.6%
9	1478	7.0%
7	1368	6.5%
+	1320	6.3%
2	410	1.9%
(	145	0.7%
Other values (6)	314	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6767	10.5%
a	6059	9.4%
S	3891	6.0%
5	2908	4.5%
N	2801	4.3%
0	2640	4.1%
n	2232	3.5%
u	2116	3.3%
-	2111	3.3%
s	2058	3.2%
Other values (49)	31108	48.1%

mobileDeviceMarketingName
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	28
Distinct (%)	1.3%
Missing	136
Missing (%)	5.8%
Memory size	36.9 KiB

Galaxy Note10+	1320
Galaxy A50	520
Honor 20	150
(not set)	79
Galaxy S9	30
Other values (23)	126

Length

Max length	28
Median length	14
Mean length	12.164494
Min length	2

Characters and Unicode

Total characters	27066
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.4%

Sample

1st row	(not set)
2nd row	(not set)
3rd row	(not set)
4th row	Galaxy J7 (2017)
5th row	Galaxy J7 (2017)

Common Values

Value	Count	Frequency (%)
Galaxy Note10+	1320	55.9%
Galaxy A50	520	22.0%
Honor 20	150	6.4%
(not set)	79	3.3%
Galaxy S9	30	1.3%
Nova 4e	30	1.3%
V15	19	0.8%
Galaxy Note10 Lite	18	0.8%
Nova 2 Lite	7	0.3%
P20	7	0.3%
Other values (18)	45	1.9%
(Missing)	136	5.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
galaxy	1911	42.8%
note10	1339	30.0%
a50	520	11.7%
honor	150	3.4%
20	150	3.4%
not	79	1.8%
set	79	1.8%
nova	37	0.8%
s9	30	0.7%
4e	30	0.7%
Other values (27)	138	3.1%

Most occurring characters

Value	Count	Frequency (%)
a	3867	14.3%
	2238	8.3%
0	2029	7.5%
x	1916	7.1%
G	1911	7.1%
l	1911	7.1%
y	1911	7.1%
o	1780	6.6%
t	1537	5.7%
e	1501	5.5%
Other values (35)	6465	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14983	55.4%
Decimal Number	4224	15.6%
Uppercase Letter	4125	15.2%
Space Separator	2238	8.3%
Math Symbol	1320	4.9%
Open Punctuation	88	0.3%
Close Punctuation	88	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
G	1911	46.3%
N	1387	33.6%
A	523	12.7%
H	150	3.6%
L	31	0.8%
S	30	0.7%
V	22	0.5%
P	21	0.5%
M	13	0.3%
Z	10	0.2%
Other values (7)	27	0.7%

Lowercase Letter

Value	Count	Frequency (%)
a	3867	25.8%
x	1916	12.8%
l	1911	12.8%
y	1911	12.8%
o	1780	11.9%
t	1537	10.3%
e	1501	10.0%
n	245	1.6%
r	162	1.1%
s	79	0.5%
Other values (4)	74	0.5%

Decimal Number

Value	Count	Frequency (%)
0	2029	48.0%
1	1380	32.7%
5	542	12.8%
2	173	4.1%
9	42	1.0%
4	30	0.7%
6	11	0.3%
7	9	0.2%
8	6	0.1%
3	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	2238	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1320	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	88	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19108	70.6%
Common	7958	29.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3867	20.2%
x	1916	10.0%
G	1911	10.0%
l	1911	10.0%
y	1911	10.0%
o	1780	9.3%
t	1537	8.0%
e	1501	7.9%
N	1387	7.3%
A	523	2.7%
Other values (21)	864	4.5%

Common

Value	Count	Frequency (%)
	2238	28.1%
0	2029	25.5%
1	1380	17.3%
+	1320	16.6%
5	542	6.8%
2	173	2.2%
(	88	1.1%
)	88	1.1%
9	42	0.5%
4	30	0.4%
Other values (4)	28	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27066	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3867	14.3%
	2238	8.3%
0	2029	7.5%
x	1916	7.1%
G	1911	7.1%
l	1911	7.1%
y	1911	7.1%
o	1780	6.6%
t	1537	5.7%
e	1501	5.5%
Other values (35)	6465	23.9%

screenResolution
Categorical

HIGH CORRELATION IMBALANCE

Distinct	22
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

360x760	1320
412x892	520
360x780	179
1366x768	72
393x873	39
Other values (17)	231

Length

Max length	8
Median length	7
Mean length	7.0576027
Min length	7

Characters and Unicode

Total characters	16663
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.2%

Sample

1st row	360x720
2nd row	360x720
3rd row	360x720
4th row	1600x900
5th row	1600x900

Common Values

Value	Count	Frequency (%)
360x760	1320	55.9%
412x892	520	22.0%
360x780	179	7.6%
1366x768	72	3.0%
393x873	39	1.7%
360x740	36	1.5%
360x771	30	1.3%
1280x720	28	1.2%
1600x900	28	1.2%
480x854	19	0.8%
Other values (12)	90	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
360x760	1320	55.9%
412x892	520	22.0%
360x780	179	7.6%
1366x768	72	3.0%
393x873	39	1.7%
360x740	36	1.5%
360x771	30	1.3%
1280x720	28	1.2%
1600x900	28	1.2%
480x854	19	0.8%
Other values (12)	90	3.8%

Most occurring characters

Value	Count	Frequency (%)
0	3378	20.3%
6	3231	19.4%
x	2361	14.2%
3	1813	10.9%
7	1768	10.6%
2	1178	7.1%
8	889	5.3%
1	738	4.4%
4	649	3.9%
9	614	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14302	85.8%
Lowercase Letter	2361	14.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3378	23.6%
6	3231	22.6%
3	1813	12.7%
7	1768	12.4%
2	1178	8.2%
8	889	6.2%
1	738	5.2%
4	649	4.5%
9	614	4.3%
5	44	0.3%

Lowercase Letter

Value	Count	Frequency (%)
x	2361	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	14302	85.8%
Latin	2361	14.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3378	23.6%
6	3231	22.6%
3	1813	12.7%
7	1768	12.4%
2	1178	8.2%
8	889	6.2%
1	738	5.2%
4	649	4.5%
9	614	4.3%
5	44	0.3%

Latin

Value	Count	Frequency (%)
x	2361	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16663	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3378	20.3%
6	3231	19.4%
x	2361	14.2%
3	1813	10.9%
7	1768	10.6%
2	1178	7.1%
8	889	5.3%
1	738	4.4%
4	649	3.9%
9	614	3.7%

language
Categorical

HIGH CORRELATION IMBALANCE

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

en-us	1295
en-gb	1025
ms	31
ms-my	8
en-my	1

Length

Max length	5
Median length	5
Mean length	4.9606099
Min length	2

Characters and Unicode

Total characters	11712
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	en-us
2nd row	en-us
3rd row	en-us
4th row	en-us
5th row	en-us

Common Values

Value	Count	Frequency (%)
en-us	1295	54.8%
en-gb	1025	43.4%
ms	31	1.3%
ms-my	8	0.3%
en-my	1	< 0.1%
en-sa	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
en-us	1295	54.8%
en-gb	1025	43.4%
ms	31	1.3%
ms-my	8	0.3%
en-my	1	< 0.1%
en-sa	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
-	2330	19.9%
e	2322	19.8%
n	2322	19.8%
s	1335	11.4%
u	1295	11.1%
g	1025	8.8%
b	1025	8.8%
m	48	0.4%
y	9	0.1%
a	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9382	80.1%
Dash Punctuation	2330	19.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2322	24.7%
n	2322	24.7%
s	1335	14.2%
u	1295	13.8%
g	1025	10.9%
b	1025	10.9%
m	48	0.5%
y	9	0.1%
a	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	2330	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9382	80.1%
Common	2330	19.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2322	24.7%
n	2322	24.7%
s	1335	14.2%
u	1295	13.8%
g	1025	10.9%
b	1025	10.9%
m	48	0.5%
y	9	0.1%
a	1	< 0.1%

Common

Value	Count	Frequency (%)
-	2330	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11712	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	2330	19.9%
e	2322	19.8%
n	2322	19.8%
s	1335	11.4%
u	1295	11.1%
g	1025	8.8%
b	1025	8.8%
m	48	0.4%
y	9	0.1%
a	1	< 0.1%

continent
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Asia	2361

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	9444
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Asia
2nd row	Asia
3rd row	Asia
4th row	Asia
5th row	Asia

Common Values

Value	Count	Frequency (%)
Asia	2361	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
asia	2361	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	2361	25.0%
s	2361	25.0%
i	2361	25.0%
a	2361	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7083	75.0%
Uppercase Letter	2361	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	2361	33.3%
i	2361	33.3%
a	2361	33.3%

Uppercase Letter

Value	Count	Frequency (%)
A	2361	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9444	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	2361	25.0%
s	2361	25.0%
i	2361	25.0%
a	2361	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9444	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	2361	25.0%
s	2361	25.0%
i	2361	25.0%
a	2361	25.0%

subContinent
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Southeast Asia	2334
Eastern Asia	27

Length

Max length	14
Median length	14
Mean length	13.977128
Min length	12

Characters and Unicode

Total characters	33000
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Southeast Asia
2nd row	Southeast Asia
3rd row	Southeast Asia
4th row	Southeast Asia
5th row	Southeast Asia

Common Values

Value	Count	Frequency (%)
Southeast Asia	2334	98.9%
Eastern Asia	27	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
asia	2361	50.0%
southeast	2334	49.4%
eastern	27	0.6%

Most occurring characters

Value	Count	Frequency (%)
a	4722	14.3%
s	4722	14.3%
t	4695	14.2%
e	2361	7.2%
	2361	7.2%
A	2361	7.2%
i	2361	7.2%
S	2334	7.1%
o	2334	7.1%
u	2334	7.1%
Other values (4)	2415	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	25917	78.5%
Uppercase Letter	4722	14.3%
Space Separator	2361	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4722	18.2%
s	4722	18.2%
t	4695	18.1%
e	2361	9.1%
i	2361	9.1%
o	2334	9.0%
u	2334	9.0%
h	2334	9.0%
r	27	0.1%
n	27	0.1%

Uppercase Letter

Value	Count	Frequency (%)
A	2361	50.0%
S	2334	49.4%
E	27	0.6%

Space Separator

Value	Count	Frequency (%)
	2361	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30639	92.8%
Common	2361	7.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4722	15.4%
s	4722	15.4%
t	4695	15.3%
e	2361	7.7%
A	2361	7.7%
i	2361	7.7%
S	2334	7.6%
o	2334	7.6%
u	2334	7.6%
h	2334	7.6%
Other values (3)	81	0.3%

Common

Value	Count	Frequency (%)
	2361	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4722	14.3%
s	4722	14.3%
t	4695	14.2%
e	2361	7.2%
	2361	7.2%
A	2361	7.2%
i	2361	7.2%
S	2334	7.1%
o	2334	7.1%
u	2334	7.1%
Other values (4)	2415	7.3%

country
Categorical

HIGH CORRELATION IMBALANCE

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Malaysia	2190
Brunei	144
Hong Kong	27

Length

Max length	9
Median length	8
Mean length	7.8894536
Min length	6

Characters and Unicode

Total characters	18627
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Malaysia
2nd row	Malaysia
3rd row	Malaysia
4th row	Malaysia
5th row	Malaysia

Common Values

Value	Count	Frequency (%)
Malaysia	2190	92.8%
Brunei	144	6.1%
Hong Kong	27	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
malaysia	2190	91.7%
brunei	144	6.0%
hong	27	1.1%
kong	27	1.1%

Most occurring characters

Value	Count	Frequency (%)
a	6570	35.3%
i	2334	12.5%
M	2190	11.8%
l	2190	11.8%
y	2190	11.8%
s	2190	11.8%
n	198	1.1%
B	144	0.8%
r	144	0.8%
u	144	0.8%
Other values (6)	333	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16212	87.0%
Uppercase Letter	2388	12.8%
Space Separator	27	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6570	40.5%
i	2334	14.4%
l	2190	13.5%
y	2190	13.5%
s	2190	13.5%
n	198	1.2%
r	144	0.9%
u	144	0.9%
e	144	0.9%
o	54	0.3%

Uppercase Letter

Value	Count	Frequency (%)
M	2190	91.7%
B	144	6.0%
H	27	1.1%
K	27	1.1%

Space Separator

Value	Count	Frequency (%)
	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18600	99.9%
Common	27	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6570	35.3%
i	2334	12.5%
M	2190	11.8%
l	2190	11.8%
y	2190	11.8%
s	2190	11.8%
n	198	1.1%
B	144	0.8%
r	144	0.8%
u	144	0.8%
Other values (5)	306	1.6%

Common

Value	Count	Frequency (%)
	27	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18627	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6570	35.3%
i	2334	12.5%
M	2190	11.8%
l	2190	11.8%
y	2190	11.8%
s	2190	11.8%
n	198	1.1%
B	144	0.8%
r	144	0.8%
u	144	0.8%
Other values (6)	333	1.8%

region
Categorical

HIGH CORRELATION IMBALANCE

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Selangor	1409
Perak	516
Federal Territory of Kuala Lumpur	209
Brunei-Muara District	144
Johor	39
Other values (6)	44

Length

Max length	33
Median length	8
Mean length	10.330792
Min length	5

Characters and Unicode

Total characters	24391
Distinct characters	36
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Federal Territory of Kuala Lumpur
2nd row	Federal Territory of Kuala Lumpur
3rd row	Federal Territory of Kuala Lumpur
4th row	Selangor
5th row	Selangor

Common Values

Value	Count	Frequency (%)
Selangor	1409	59.7%
Perak	516	21.9%
Federal Territory of Kuala Lumpur	209	8.9%
Brunei-Muara District	144	6.1%
Johor	39	1.7%
(not set)	27	1.1%
Penang	7	0.3%
Kedah	4	0.2%
Labuan Federal Territory	4	0.2%
Sarawak	1	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
selangor	1409	41.7%
perak	516	15.3%
federal	213	6.3%
territory	213	6.3%
of	209	6.2%
kuala	209	6.2%
lumpur	209	6.2%
brunei-muara	144	4.3%
district	144	4.3%
johor	39	1.2%
Other values (8)	72	2.1%

Most occurring characters

Value	Count	Frequency (%)
r	3459	14.2%
a	2867	11.8%
e	2749	11.3%
o	1936	7.9%
l	1832	7.5%
n	1599	6.6%
g	1417	5.8%
S	1411	5.8%
	1016	4.2%
u	919	3.8%
Other values (26)	5186	21.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19919	81.7%
Uppercase Letter	3258	13.4%
Space Separator	1016	4.2%
Dash Punctuation	144	0.6%
Open Punctuation	27	0.1%
Close Punctuation	27	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	3459	17.4%
a	2867	14.4%
e	2749	13.8%
o	1936	9.7%
l	1832	9.2%
n	1599	8.0%
g	1417	7.1%
u	919	4.6%
i	647	3.2%
t	555	2.8%
Other values (11)	1939	9.7%

Uppercase Letter

Value	Count	Frequency (%)
S	1411	43.3%
P	523	16.1%
L	213	6.5%
K	213	6.5%
T	213	6.5%
F	213	6.5%
D	144	4.4%
M	144	4.4%
B	144	4.4%
J	39	1.2%

Space Separator

Value	Count	Frequency (%)
	1016	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	144	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	27	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23177	95.0%
Common	1214	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	3459	14.9%
a	2867	12.4%
e	2749	11.9%
o	1936	8.4%
l	1832	7.9%
n	1599	6.9%
g	1417	6.1%
S	1411	6.1%
u	919	4.0%
i	647	2.8%
Other values (22)	4341	18.7%

Common

Value	Count	Frequency (%)
	1016	83.7%
-	144	11.9%
(	27	2.2%
)	27	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24391	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	3459	14.2%
a	2867	11.8%
e	2749	11.3%
o	1936	7.9%
l	1832	7.5%
n	1599	6.6%
g	1417	5.8%
S	1411	5.8%
	1016	4.2%
u	919	3.8%
Other values (26)	5186	21.3%

city
Categorical

HIGH CORRELATION IMBALANCE

Distinct	21
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Telok Panglima Garang	1304
Ipoh	516
Kuala Lumpur	209
Bandar Seri Begawan	144
Shah Alam	33
Other values (16)	155

Length

Max length	21
Median length	21
Mean length	15.44388
Min length	4

Characters and Unicode

Total characters	36463
Distinct characters	38
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Kuala Lumpur
2nd row	Kuala Lumpur
3rd row	Kuala Lumpur
4th row	Batu Caves
5th row	Batu Caves

Common Values

Value	Count	Frequency (%)
Telok Panglima Garang	1304	55.2%
Ipoh	516	21.9%
Kuala Lumpur	209	8.9%
Bandar Seri Begawan	144	6.1%
Shah Alam	33	1.4%
Johor Bahru	31	1.3%
(not set)	28	1.2%
Petaling Jaya	22	0.9%
Rawang	17	0.7%
Banting	15	0.6%
Other values (11)	42	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
telok	1304	23.3%
panglima	1304	23.3%
garang	1304	23.3%
ipoh	516	9.2%
kuala	209	3.7%
lumpur	209	3.7%
bandar	144	2.6%
seri	144	2.6%
begawan	144	2.6%
shah	33	0.6%
Other values (22)	296	5.3%

Most occurring characters

Value	Count	Frequency (%)
a	6507	17.8%
	3246	8.9%
n	3026	8.3%
l	2872	7.9%
g	2830	7.8%
o	1914	5.2%
r	1866	5.1%
e	1652	4.5%
m	1552	4.3%
i	1509	4.1%
Other values (28)	9489	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27610	75.7%
Uppercase Letter	5551	15.2%
Space Separator	3246	8.9%
Close Punctuation	28	0.1%
Open Punctuation	28	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6507	23.6%
n	3026	11.0%
l	2872	10.4%
g	2830	10.2%
o	1914	6.9%
r	1866	6.8%
e	1652	6.0%
m	1552	5.6%
i	1509	5.5%
k	1304	4.7%
Other values (12)	2578	9.3%

Uppercase Letter

Value	Count	Frequency (%)
P	1342	24.2%
G	1304	23.5%
T	1304	23.5%
I	516	9.3%
B	345	6.2%
L	213	3.8%
K	213	3.8%
S	189	3.4%
J	65	1.2%
A	38	0.7%
Other values (3)	22	0.4%

Space Separator

Value	Count	Frequency (%)
	3246	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	28	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33161	90.9%
Common	3302	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6507	19.6%
n	3026	9.1%
l	2872	8.7%
g	2830	8.5%
o	1914	5.8%
r	1866	5.6%
e	1652	5.0%
m	1552	4.7%
i	1509	4.6%
P	1342	4.0%
Other values (25)	8091	24.4%

Common

Value	Count	Frequency (%)
	3246	98.3%
)	28	0.8%
(	28	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6507	17.8%
	3246	8.9%
n	3026	8.3%
l	2872	7.9%
g	2830	7.8%
o	1914	5.2%
r	1866	5.1%
e	1652	4.5%
m	1552	4.3%
i	1509	4.1%
Other values (28)	9489	26.0%

sec
Text

Distinct	94
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Length

Max length	137
Median length	131
Mean length	8.781025
Min length	1

Characters and Unicode

Total characters	20732
Distinct characters	45
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	2.3%

Sample

1st row	/video-nak-marah-tapi-kena-sabar-anak-diam-rupanya-masuk-sangkar-kucing
2nd row	/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi
3rd row	/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi
4th row	/rakyat-malaysia-maut-dibunuh-di-australia-didakwa-jadi-penjaga-1000-pokok-ganja-bagi-kumpulan-jenayah
5th row	/datuk-74-tahun-maut-selepas-tunai-hajat-di-rumah-pelacuran-polis-jumpa-ubat-kuat

Value	Count	Frequency (%)
	870	36.7%
news	844	35.6%
world	219	9.2%
lifestyle	116	4.9%
sports	61	2.6%
business	50	2.1%
opinion	45	1.9%
my	28	1.2%
kantoi-masuk-bilik-tidur-anak-tiri-isteri-tetak-kemaluan-suami-lepas-tengok-rakaman-web-cam	8	0.3%
wanita-dirogol-6-lelaki-di-hadapan-suami-2-orang-anak-ketika-dalam-perjalanan-pulang-dari-kebun	7	0.3%
Other values (82)	121	5.1%

Most occurring characters

Value	Count	Frequency (%)
/	3686	17.8%
e	1804	8.7%
a	1716	8.3%
n	1702	8.2%
s	1680	8.1%
-	1482	7.1%
w	1124	5.4%
i	947	4.6%
l	778	3.8%
r	735	3.5%
Other values (35)	5078	24.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15440	74.5%
Other Punctuation	3707	17.9%
Dash Punctuation	1482	7.1%
Decimal Number	68	0.3%
Math Symbol	21	0.1%
Space Separator	8	< 0.1%
Uppercase Letter	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1804	11.7%
a	1716	11.1%
n	1702	11.0%
s	1680	10.9%
w	1124	7.3%
i	947	6.1%
l	778	5.0%
r	735	4.8%
t	684	4.4%
o	595	3.9%
Other values (15)	3675	23.8%

Decimal Number

Value	Count	Frequency (%)
2	18	26.5%
1	8	11.8%
6	8	11.8%
4	8	11.8%
7	8	11.8%
0	7	10.3%
3	7	10.3%
5	3	4.4%
8	1	1.5%

Uppercase Letter

Value	Count	Frequency (%)
P	2	33.3%
I	1	16.7%
N	1	16.7%
K	1	16.7%
J	1	16.7%

Other Punctuation

Value	Count	Frequency (%)
/	3686	99.4%
?	18	0.5%
&	3	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1482	100.0%

Math Symbol

Value	Count	Frequency (%)
=	21	100.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15446	74.5%
Common	5286	25.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1804	11.7%
a	1716	11.1%
n	1702	11.0%
s	1680	10.9%
w	1124	7.3%
i	947	6.1%
l	778	5.0%
r	735	4.8%
t	684	4.4%
o	595	3.9%
Other values (20)	3681	23.8%

Common

Value	Count	Frequency (%)
/	3686	69.7%
-	1482	28.0%
=	21	0.4%
?	18	0.3%
2	18	0.3%
	8	0.2%
1	8	0.2%
6	8	0.2%
4	8	0.2%
7	8	0.2%
Other values (5)	21	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20732	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	3686	17.8%
e	1804	8.7%
a	1716	8.3%
n	1702	8.2%
s	1680	8.1%
-	1482	7.1%
w	1124	5.4%
i	947	4.6%
l	778	3.8%
r	735	3.5%
Other values (35)	5078	24.5%

sub_sec
Categorical

Distinct	27
Distinct (%)	2.0%
Missing	1036
Missing (%)	43.9%
Memory size	36.9 KiB

/nation/	475
/politics/	200
/world/	196
/crime-courts/	151
/groove/	75
Other values (22)	228

Length

Max length	26
Median length	14
Mean length	9.0581132
Min length	1

Characters and Unicode

Total characters	12002
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	/nation/
2nd row	/nation/
3rd row	/news/
4th row	/badminton/
5th row	/region/

Common Values

Value	Count	Frequency (%)
/nation/	475	20.1%
/politics/	200	8.5%
/world/	196	8.3%
/crime-courts/	151	6.4%
/groove/	75	3.2%
/2022/	45	1.9%
/badminton/	36	1.5%
/leaders/	24	1.0%
/football/	15	0.6%
/letters/	14	0.6%
Other values (17)	94	4.0%
(Missing)	1036	43.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nation	478	36.1%
politics	200	15.1%
world	196	14.8%
crime-courts	151	11.4%
groove	75	5.7%
2022	45	3.4%
badminton	37	2.8%
leaders	24	1.8%
football	15	1.1%
letters	14	1.1%
Other values (15)	90	6.8%

Most occurring characters

Value	Count	Frequency (%)
/	2643	22.0%
o	1289	10.7%
i	1143	9.5%
n	1098	9.1%
t	933	7.8%
r	636	5.3%
a	583	4.9%
c	529	4.4%
l	500	4.2%
s	465	3.9%
Other values (17)	2183	18.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8997	75.0%
Other Punctuation	2643	22.0%
Dash Punctuation	182	1.5%
Decimal Number	180	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1289	14.3%
i	1143	12.7%
n	1098	12.2%
t	933	10.4%
r	636	7.1%
a	583	6.5%
c	529	5.9%
l	500	5.6%
s	465	5.2%
e	379	4.2%
Other values (13)	1442	16.0%

Decimal Number

Value	Count	Frequency (%)
2	135	75.0%
0	45	25.0%

Other Punctuation

Value	Count	Frequency (%)
/	2643	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	182	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8997	75.0%
Common	3005	25.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1289	14.3%
i	1143	12.7%
n	1098	12.2%
t	933	10.4%
r	636	7.1%
a	583	6.5%
c	529	5.9%
l	500	5.6%
s	465	5.2%
e	379	4.2%
Other values (13)	1442	16.0%

Common

Value	Count	Frequency (%)
/	2643	88.0%
-	182	6.1%
2	135	4.5%
0	45	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12002	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	2643	22.0%
o	1289	10.7%
i	1143	9.5%
n	1098	9.1%
t	933	7.8%
r	636	5.3%
a	583	4.9%
c	529	4.4%
l	500	4.2%
s	465	3.9%
Other values (17)	2183	18.2%

pageTitle
Text

Distinct	453
Distinct (%)	19.2%
Missing	1
Missing (%)	< 0.1%
Memory size	36.9 KiB

Length

Max length	136
Median length	125
Mean length	43.044068
Min length	15

Characters and Unicode

Total characters	101584
Distinct characters	84
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	125 ?
Unique (%)	5.3%

Sample

1st row	[VIDEO] Nak Marah Tapi Kena Sabar, Anak Diam Rupanya Masuk Sangkar Kucing
2nd row	Suami Jual Isteri, Peroleh Hampir RM3k Sebulan – 'Saya Sakit Hati Tengok Dia Lakukan Hubungan Intim Tapi..'
3rd row	Suami Jual Isteri, Peroleh Hampir RM3k Sebulan – 'Saya Sakit Hati Tengok Dia Lakukan Hubungan Intim Tapi..'
4th row	Rakyat Malaysia Maut 'Dibunuh' Di Australia, Didakwa Jadi Penjaga 1,000 Pokok Ganja Bagi Kumpulan Jenayah
5th row	Datuk 74 Tahun Maut Selepas Tunai 'Hajat' Di Rumah Pelacuran, Polis Jumpa Ubat Kuat

Value	Count	Frequency (%)
new	978	5.9%
times	954	5.8%
straits	938	5.7%
to	389	2.4%
of	252	1.5%
in	234	1.4%
for	194	1.2%
says	149	0.9%
	114	0.7%
on	90	0.5%
Other values (2397)	12175	73.9%

Most occurring characters

Value	Count	Frequency (%)
	14107	13.9%
e	8489	8.4%
a	7813	7.7%
i	7314	7.2%
s	6576	6.5%
t	6181	6.1%
r	5374	5.3%
n	4918	4.8%
o	4886	4.8%
l	2842	2.8%
Other values (74)	33084	32.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75108	73.9%
Space Separator	14107	13.9%
Uppercase Letter	9330	9.2%
Other Punctuation	1609	1.6%
Decimal Number	872	0.9%
Dash Punctuation	403	0.4%
Open Punctuation	59	0.1%
Close Punctuation	59	0.1%
Math Symbol	32	< 0.1%
Currency Symbol	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8489	11.3%
a	7813	10.4%
i	7314	9.7%
s	6576	8.8%
t	6181	8.2%
r	5374	7.2%
n	4918	6.5%
o	4886	6.5%
l	2842	3.8%
m	2572	3.4%
Other values (17)	18143	24.2%

Uppercase Letter

Value	Count	Frequency (%)
S	1685	18.1%
T	1487	15.9%
N	1212	13.0%
M	650	7.0%
A	494	5.3%
P	351	3.8%
B	336	3.6%
R	327	3.5%
C	326	3.5%
K	303	3.2%
Other values (16)	2159	23.1%

Other Punctuation

Value	Count	Frequency (%)
'	665	41.3%
,	475	29.5%
:	249	15.5%
#	68	4.2%
&	58	3.6%
.	39	2.4%
"	18	1.1%
!	18	1.1%
?	10	0.6%
;	4	0.2%
Other values (2)	5	0.3%

Decimal Number

Value	Count	Frequency (%)
1	210	24.1%
2	123	14.1%
0	118	13.5%
9	112	12.8%
5	87	10.0%
4	54	6.2%
3	53	6.1%
7	53	6.1%
6	44	5.0%
8	18	2.1%

Dash Punctuation

Value	Count	Frequency (%)
-	365	90.6%
–	38	9.4%

Open Punctuation

Value	Count	Frequency (%)
[	55	93.2%
(	4	6.8%

Close Punctuation

Value	Count	Frequency (%)
]	55	93.2%
)	4	6.8%

Space Separator

Value	Count	Frequency (%)
	14107	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	32	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84438	83.1%
Common	17146	16.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8489	10.1%
a	7813	9.3%
i	7314	8.7%
s	6576	7.8%
t	6181	7.3%
r	5374	6.4%
n	4918	5.8%
o	4886	5.8%
l	2842	3.4%
m	2572	3.0%
Other values (43)	27473	32.5%

Common

Value	Count	Frequency (%)
	14107	82.3%
'	665	3.9%
,	475	2.8%
-	365	2.1%
:	249	1.5%
1	210	1.2%
2	123	0.7%
0	118	0.7%
9	112	0.7%
5	87	0.5%
Other values (21)	635	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	101542	> 99.9%
Punctuation	40	< 0.1%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14107	13.9%
e	8489	8.4%
a	7813	7.7%
i	7314	7.2%
s	6576	6.5%
t	6181	6.1%
r	5374	5.3%
n	4918	4.8%
o	4886	4.8%
l	2842	2.8%
Other values (71)	33042	32.5%

Punctuation

Value	Count	Frequency (%)
–	38	95.0%
…	2	5.0%

None

Value	Count	Frequency (%)
é	2	100.0%

url
Text

Distinct	476
Distinct (%)	20.2%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

Length

Max length	156
Median length	141
Mean length	71.253283
Min length	20

Characters and Unicode

Total characters	168229
Distinct characters	50
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	144 ?
Unique (%)	6.1%

Sample

1st row	https://ohbulan.com/video-nak-marah-tapi-kena-sabar-anak-diam-rupanya-masuk-sangkar-kucing
2nd row	https://ohbulan.com/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi
3rd row	https://ohbulan.com/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi
4th row	https://ohbulan.com/rakyat-malaysia-maut-dibunuh-di-australia-didakwa-jadi-penjaga-1000-pokok-ganja-bagi-kumpulan-jenayah
5th row	https://ohbulan.com/datuk-74-tahun-maut-selepas-tunai-hajat-di-rumah-pelacuran-polis-jumpa-ubat-kuat

Value	Count	Frequency (%)
https://www.nst.com.my	866	36.5%
https://www.nst.com.my/news/politics/2022/03/779651/johor-polls-seven-party-leaders-bite-dust	19	0.8%
https://www.nst.com.my/lifestyle	16	0.7%
https://www.nst.com.my/world/world/2022/03/780026/my-life-will-always-be-devoted-service-uks-queen-elizabeth-says	12	0.5%
https://www.nst.com.my/news/politics/2022/03/781105/zahid-reiterates-umnos-stand-call-early-ge	12	0.5%
https://www.nst.com.my/world	12	0.5%
https://www.nst.com.my/news/nation/2022/03/783468/75-year-old-covid-19-positive-man-falls-death-condo	11	0.5%
https://www.nst.com.my/news/crime-courts/2022/03/783459/elderly-woman-robbed-front-sons-house-bandar-tun-razak	11	0.5%
https://www.nst.com.my/news/nation/2022/03/783631/mysejahtera-app-still-under-govt-not-sold-private-entity	11	0.5%
https://www.nst.com.my/lifestyle/groove/2022/04/785307/showbiz-soo-wincci-first-miss-world-malaysia-who-also-associate	11	0.5%
Other values (470)	1392	58.7%

Most occurring characters

Value	Count	Frequency (%)
/	13551	8.1%
t	12173	7.2%
s	11522	6.8%
-	10646	6.3%
n	9194	5.5%
w	8777	5.2%
e	8080	4.8%
o	8065	4.8%
a	7842	4.7%
m	7007	4.2%
Other values (40)	71372	42.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	118466	70.4%
Other Punctuation	22734	13.5%
Decimal Number	16344	9.7%
Dash Punctuation	10646	6.3%
Math Symbol	21	< 0.1%
Space Separator	12	< 0.1%
Uppercase Letter	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	12173	10.3%
s	11522	9.7%
n	9194	7.8%
w	8777	7.4%
e	8080	6.8%
o	8065	6.8%
a	7842	6.6%
m	7007	5.9%
i	6556	5.5%
r	5327	4.5%
Other values (17)	33923	28.6%

Decimal Number

Value	Count	Frequency (%)
2	4616	28.2%
0	3236	19.8%
7	1937	11.9%
3	1467	9.0%
8	1365	8.4%
4	942	5.8%
1	830	5.1%
6	660	4.0%
9	652	4.0%
5	639	3.9%

Other Punctuation

Value	Count	Frequency (%)
/	13551	59.6%
.	6801	29.9%
:	2361	10.4%
?	18	0.1%
&	3	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
P	2	33.3%
I	1	16.7%
N	1	16.7%
K	1	16.7%
J	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	10646	100.0%

Math Symbol

Value	Count	Frequency (%)
=	21	100.0%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	118472	70.4%
Common	49757	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	12173	10.3%
s	11522	9.7%
n	9194	7.8%
w	8777	7.4%
e	8080	6.8%
o	8065	6.8%
a	7842	6.6%
m	7007	5.9%
i	6556	5.5%
r	5327	4.5%
Other values (22)	33929	28.6%

Common

Value	Count	Frequency (%)
/	13551	27.2%
-	10646	21.4%
.	6801	13.7%
2	4616	9.3%
0	3236	6.5%
:	2361	4.7%
7	1937	3.9%
3	1467	2.9%
8	1365	2.7%
4	942	1.9%
Other values (8)	2835	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	168227	> 99.9%
None	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	13551	8.1%
t	12173	7.2%
s	11522	6.8%
-	10646	6.3%
n	9194	5.5%
w	8777	5.2%
e	8080	4.8%
o	8065	4.8%
a	7842	4.7%
m	7007	4.2%
Other values (39)	71370	42.4%

None

Value	Count	Frequency (%)
é	2	100.0%

onPageTime
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	856
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	258911.15

Minimum	0
Maximum	2448447
Zeros	74
Zeros (%)	3.1%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	0
5-th percentile	221
Q1	2244
median	125599
Q3	334256
95-th percentile	1269478
Maximum	2448447
Range	2448447
Interquartile range (IQR)	332012

Descriptive statistics

Standard deviation	385334.92
Coefficient of variation (CV)	1.4882902
Kurtosis	6.6552911
Mean	258911.15
Median Absolute Deviation (MAD)	124672
Skewness	2.4589022
Sum	6.1128922 × 10⁸
Variance	1.48483 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	74	3.1%
281	8	0.3%
243	6	0.3%
476	6	0.3%
333	6	0.3%
238	6	0.3%
320	6	0.3%
1009	5	0.2%
723	5	0.2%
32118	5	0.2%
Other values (846)	2234	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	74	3.1%
34	4	0.2%
76	1	< 0.1%
81	1	< 0.1%
91	1	< 0.1%
92	4	0.2%
105	1	< 0.1%
118	3	0.1%
120	1	< 0.1%
124	1	< 0.1%

Value	Count	Frequency (%)
2448447	1	< 0.1%
2448060	1	< 0.1%
2358824	1	< 0.1%
2323488	2	0.1%
2322735	1	< 0.1%
2307199	1	< 0.1%
2267465	1	< 0.1%
1822646	4	0.2%
1820458	1	< 0.1%
1796249	2	0.1%

nextTime
Real number (ℝ)

Distinct	936
Distinct (%)	39.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	384208.73

Minimum	4553
Maximum	3805761
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	4553
5-th percentile	18576
Q1	104597
median	232139
Q3	495067
95-th percentile	1462459
Maximum	3805761
Range	3801208
Interquartile range (IQR)	390470

Descriptive statistics

Standard deviation	440470.47
Coefficient of variation (CV)	1.1464353
Kurtosis	6.7006643
Mean	384208.73
Median Absolute Deviation (MAD)	166624
Skewness	2.3190617
Sum	9.0711681 × 10⁸
Variance	1.9401423 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16519	5	0.2%
32118	5	0.2%
173514	4	0.2%
419793	4	0.2%
47997	4	0.2%
222380	4	0.2%
230646	4	0.2%
12699	4	0.2%
139443	4	0.2%
169503	4	0.2%
Other values (926)	2319	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4553	4	0.2%
6208	2	0.1%
6454	1	< 0.1%
7330	1	< 0.1%
7811	3	0.1%
7914	1	< 0.1%
8109	1	< 0.1%
8140	4	0.2%
10033	4	0.2%
10303	3	0.1%

Value	Count	Frequency (%)
3805761	1	< 0.1%
3183200	2	0.1%
2526602	2	0.1%
2490833	1	< 0.1%
2467467	1	< 0.1%
2448447	1	< 0.1%
2448060	1	< 0.1%
2358824	1	< 0.1%
2335052	2	0.1%
2323488	2	0.1%

user_active_days
Real number (ℝ)

Distinct	20
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.268107

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	24
median	24
Q3	25
95-th percentile	30
Maximum	30
Range	29
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	6.3590083
Coefficient of variation (CV)	0.2732929
Kurtosis	2.5106901
Mean	23.268107
Median Absolute Deviation (MAD)	0
Skewness	-1.6591438
Sum	54936
Variance	40.436987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
24	1296	54.9%
30	519	22.0%
25	144	6.1%
7	73	3.1%
5	64	2.7%
14	53	2.2%
15	32	1.4%
19	30	1.3%
23	30	1.3%
11	20	0.8%
Other values (10)	100	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.2%
2	14	0.6%
4	9	0.4%
5	64	2.7%
6	5	0.2%
7	73	3.1%
8	11	0.5%
9	7	0.3%
10	5	0.2%
11	20	0.8%

Value	Count	Frequency (%)
30	519	22.0%
25	144	6.1%
24	1296	54.9%
23	30	1.3%
22	18	0.8%
19	30	1.3%
18	19	0.8%
15	32	1.4%
14	53	2.2%
13	7	0.3%

total_visit_counts
Real number (ℝ)

Distinct	44
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2501.7522

Minimum	1
Maximum	3328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	1
5-th percentile	232
Q1	2041
median	3328
Q3	3328
95-th percentile	3328
Maximum	3328
Range	3327
Interquartile range (IQR)	1287

Descriptive statistics

Standard deviation	1038.8399
Coefficient of variation (CV)	0.4152449
Kurtosis	-0.36465621
Mean	2501.7522
Median Absolute Deviation (MAD)	0
Skewness	-0.92759625
Sum	5906637
Variance	1079188.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
3328	1296	54.9%
2041	519	22.0%
1755	144	6.1%
634	67	2.8%
868	37	1.6%
2534	30	1.3%
1144	30	1.3%
196	28	1.2%
760	25	1.1%
129	24	1.0%
Other values (34)	161	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
8	2	0.1%
10	1	< 0.1%
12	3	0.1%
15	1	< 0.1%
19	4	0.2%
30	1	< 0.1%
43	3	0.1%
48	2	0.1%
57	1	< 0.1%

Value	Count	Frequency (%)
3328	1296	54.9%
2534	30	1.3%
2116	6	0.3%
2041	519	22.0%
1755	144	6.1%
1144	30	1.3%
1123	5	0.2%
1023	2	0.1%
876	19	0.8%
868	37	1.6%

total_unique_session
Real number (ℝ)

Distinct	23
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.756883

Minimum	1
Maximum	79
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	71
median	71
Q3	73
95-th percentile	79
Maximum	79
Range	78
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	21.913316
Coefficient of variation (CV)	0.34370118
Kurtosis	1.7908575
Mean	63.756883
Median Absolute Deviation (MAD)	0
Skewness	-1.8514461
Sum	150530
Variance	480.19341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
71	1296	54.9%
79	519	22.0%
73	144	6.1%
7	72	3.0%
19	48	2.0%
5	40	1.7%
24	37	1.6%
11	31	1.3%
21	30	1.3%
53	30	1.3%
Other values (13)	114	4.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.2%
2	10	0.4%
3	4	0.2%
4	2	0.1%
5	40	1.7%
7	72	3.0%
8	5	0.2%
9	6	0.3%
10	7	0.3%
11	31	1.3%

Value	Count	Frequency (%)
79	519	22.0%
73	144	6.1%
71	1296	54.9%
53	30	1.3%
35	18	0.8%
27	19	0.8%
24	37	1.6%
21	30	1.3%
19	48	2.0%
18	1	< 0.1%

total_time_spent
Real number (ℝ)

Distinct	45
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166214.66

Minimum	54
Maximum	243007
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	54
5-th percentile	4496
Q1	97538
median	243007
Q3	243007
95-th percentile	243007
Maximum	243007
Range	242953
Interquartile range (IQR)	145469

Descriptive statistics

Standard deviation	89128.94
Coefficient of variation (CV)	0.53622792
Kurtosis	-1.315649
Mean	166214.66
Median Absolute Deviation (MAD)	0
Skewness	-0.5107787
Sum	3.9243281 × 10⁸
Variance	7.9439679 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
243007	1296	54.9%
97538	519	22.0%
108436	144	6.1%
101631	67	2.8%
18091	37	1.6%
32035	30	1.3%
4998	30	1.3%
45534	28	1.2%
4496	25	1.1%
2027	24	1.0%
Other values (35)	161	6.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54	2	0.1%
120	1	< 0.1%
178	1	< 0.1%
210	1	< 0.1%
236	1	< 0.1%
294	2	0.1%
375	1	< 0.1%
400	1	< 0.1%
446	1	< 0.1%
493	1	< 0.1%

Value	Count	Frequency (%)
243007	1296	54.9%
108436	144	6.1%
101631	67	2.8%
97538	519	22.0%
45534	28	1.2%
32035	30	1.3%
24783	19	0.8%
18091	37	1.6%
14017	7	0.3%
11206	19	0.8%

time_spent_per_session
Real number (ℝ)

Distinct	256
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	625.62812

Minimum	8
Maximum	3806
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	8
5-th percentile	98
Q1	254
median	496
Q3	764
95-th percentile	1751
Maximum	3806
Range	3798
Interquartile range (IQR)	510

Descriptive statistics

Standard deviation	521.11068
Coefficient of variation (CV)	0.83293999
Kurtosis	3.8946291
Mean	625.62812
Median Absolute Deviation (MAD)	263
Skewness	1.7460773
Sum	1477108
Variance	271556.35
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
922	56	2.4%
1903	56	2.4%
757	56	2.4%
670	55	2.3%
862	48	2.0%
672	45	1.9%
944	44	1.9%
412	36	1.5%
741	36	1.5%
596	36	1.5%
Other values (246)	1893	80.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	4	0.2%
12	1	< 0.1%
13	1	< 0.1%
18	2	0.1%
22	1	< 0.1%
29	1	< 0.1%
30	2	0.1%
31	1	< 0.1%
34	1	< 0.1%
41	4	0.2%

Value	Count	Frequency (%)
3806	2	0.1%
3183	6	0.3%
2527	4	0.2%
2525	15	0.6%
2491	4	0.2%
2384	6	0.3%
2088	4	0.2%
2065	6	0.3%
1985	2	0.1%
1903	56	2.4%

timeOnPage
Real number (ℝ)

Distinct	936
Distinct (%)	39.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125297.58

Minimum	213
Maximum	2357471
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	36.9 KiB

Quantile statistics

Minimum	213
5-th percentile	7604
Q1	24006
median	59645
Q3	125285
95-th percentile	462085
Maximum	2357471
Range	2357258
Interquartile range (IQR)	101279

Descriptive statistics

Standard deviation	230478.99
Coefficient of variation (CV)	1.8394528
Kurtosis	27.023376
Mean	125297.58
Median Absolute Deviation (MAD)	42827
Skewness	4.7818016
Sum	2.958276 × 10⁸
Variance	5.3120564 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56334	8	0.3%
90143	4	0.2%
94783	4	0.2%
8266	4	0.2%
12366	4	0.2%
126744	4	0.2%
30060	4	0.2%
222992	4	0.2%
27298	4	0.2%
74680	4	0.2%
Other values (926)	2317	98.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
213	1	< 0.1%
290	1	< 0.1%
293	1	< 0.1%
299	1	< 0.1%
387	1	< 0.1%
425	1	< 0.1%
540	1	< 0.1%
632	1	< 0.1%
936	1	< 0.1%
1346	1	< 0.1%

Value	Count	Frequency (%)
2357471	1	< 0.1%
1817873	1	< 0.1%
1796085	2	0.1%
1748726	2	0.1%
1739236	1	< 0.1%
1711007	1	< 0.1%
1702775	3	0.1%
1692451	2	0.1%
1684888	2	0.1%
1680524	2	0.1%

GAClientId
Categorical

HIGH CORRELATION IMBALANCE

Distinct	42
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

1990207551.1572628814	1320
1210251251.1572441982	519
119463514.1596533239	144
345467720.1512180611	68
1463832559.1594111754	39
Other values (37)	271

Length

Max length	68
Median length	21
Mean length	21.358746
Min length	19

Characters and Unicode

Total characters	50428
Distinct characters	64
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.5%

Sample

1st row	amp-35vZcqfyySaxus6_748cgw
2nd row	amp-35vZcqfyySaxus6_748cgw
3rd row	amp-35vZcqfyySaxus6_748cgw
4th row	269799904.1574837317
5th row	269799904.1574837317

Common Values

Value	Count	Frequency (%)
1990207551.1572628814	1320	55.9%
1210251251.1572441982	519	22.0%
119463514.1596533239	144	6.1%
345467720.1512180611	68	2.9%
1463832559.1594111754	39	1.7%
794896869.1530833982	30	1.3%
425114537.1571194343	30	1.3%
803641785.1607062510	28	1.2%
161282953.1586164891	25	1.1%
956503047.1586396037	19	0.8%
Other values (32)	139	5.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1990207551.1572628814	1320	55.9%
1210251251.1572441982	519	22.0%
119463514.1596533239	144	6.1%
345467720.1512180611	68	2.9%
1463832559.1594111754	39	1.7%
794896869.1530833982	30	1.3%
425114537.1571194343	30	1.3%
803641785.1607062510	28	1.2%
161282953.1586164891	25	1.1%
2123807980.1587881577	19	0.8%
Other values (32)	139	5.9%

Most occurring characters

Value	Count	Frequency (%)
1	10260	20.3%
2	7202	14.3%
5	6829	13.5%
9	4115	8.2%
7	3870	7.7%
8	3831	7.6%
0	3636	7.2%
4	3265	6.5%
.	2328	4.6%
6	2270	4.5%
Other values (54)	2822	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	46504	92.2%
Other Punctuation	2328	4.6%
Lowercase Letter	873	1.7%
Uppercase Letter	642	1.3%
Dash Punctuation	52	0.1%
Connector Punctuation	29	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	82	12.8%
B	68	10.6%
V	61	9.5%
Z	50	7.8%
L	48	7.5%
C	41	6.4%
D	29	4.5%
H	28	4.4%
T	27	4.2%
J	26	4.0%
Other values (16)	182	28.3%

Lowercase Letter

Value	Count	Frequency (%)
p	93	10.7%
v	72	8.2%
x	69	7.9%
m	68	7.8%
a	65	7.4%
z	63	7.2%
n	59	6.8%
q	50	5.7%
k	39	4.5%
w	33	3.8%
Other values (15)	262	30.0%

Decimal Number

Value	Count	Frequency (%)
1	10260	22.1%
2	7202	15.5%
5	6829	14.7%
9	4115	8.8%
7	3870	8.3%
8	3831	8.2%
0	3636	7.8%
4	3265	7.0%
6	2270	4.9%
3	1226	2.6%

Other Punctuation

Value	Count	Frequency (%)
.	2328	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	52	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	48913	97.0%
Latin	1515	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
p	93	6.1%
O	82	5.4%
v	72	4.8%
x	69	4.6%
B	68	4.5%
m	68	4.5%
a	65	4.3%
z	63	4.2%
V	61	4.0%
n	59	3.9%
Other values (41)	815	53.8%

Common

Value	Count	Frequency (%)
1	10260	21.0%
2	7202	14.7%
5	6829	14.0%
9	4115	8.4%
7	3870	7.9%
8	3831	7.8%
0	3636	7.4%
4	3265	6.7%
.	2328	4.8%
6	2270	4.6%
Other values (3)	1307	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50428	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10260	20.3%
2	7202	14.3%
5	6829	13.5%
9	4115	8.2%
7	3870	7.7%
8	3831	7.6%
0	3636	7.2%
4	3265	6.5%
.	2328	4.6%
6	2270	4.5%
Other values (54)	2822	5.6%

cookie_id
Categorical

Distinct	49
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	36.9 KiB

7T/yP+n/OW8uEJB3	330
VHciCTdcN8uLLIy0	330
WF8pC3HscIBm6Oq-	330
Z4WqEac4BZQhQ/eJ	330
j1hPDn/zHYJDJtt1	173
Other values (44)	868

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	37776
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	0.5%

Sample

1st row	IhHSD5tP1NnqeA1g
2nd row	IhHSD5tP1NnqeA1g
3rd row	IhHSD5tP1NnqeA1g
4th row	7Zr54t-YOVCMSUWw
5th row	7Zr54t-YOVCMSUWw

Common Values

Value	Count	Frequency (%)
7T/yP+n/OW8uEJB3	330	14.0%
VHciCTdcN8uLLIy0	330	14.0%
WF8pC3HscIBm6Oq-	330	14.0%
Z4WqEac4BZQhQ/eJ	330	14.0%
j1hPDn/zHYJDJtt1	173	7.3%
9SnEimmWcRSJzDB8	173	7.3%
uYe3ySd/TK2+M+iU	173	7.3%
KfINVt7uaBeUTeDN	72	3.0%
o1/oEQszPZgSwChB	72	3.0%
5LgVxDgzLA5I6DDi	68	2.9%
Other values (39)	310	13.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7t/yp+n/ow8uejb3	330	14.0%
z4wqeac4bzqhq/ej	330	14.0%
vhcictdcn8ulliy0	330	14.0%
wf8pc3hscibm6oq	330	14.0%
j1hpdn/zhyjdjtt1	173	7.3%
9sneimmwcrsjzdb8	173	7.3%
uye3ysd/tk2+m+iu	173	7.3%
kfinvt7uabeutedn	72	3.0%
o1/oeqszpzgswchb	72	3.0%
5lgvxdgzla5i6ddi	68	2.9%
Other values (39)	310	13.1%

Most occurring characters

Value	Count	Frequency (%)
c	1569	4.2%
/	1491	3.9%
B	1429	3.8%
W	1281	3.4%
8	1211	3.2%
J	1206	3.2%
T	1015	2.7%
u	991	2.6%
E	952	2.5%
3	931	2.5%
Other values (55)	25700	68.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	17286	45.8%
Lowercase Letter	12520	33.1%
Decimal Number	5422	14.4%
Other Punctuation	1491	3.9%
Math Symbol	724	1.9%
Dash Punctuation	333	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	1569	12.5%
u	991	7.9%
y	852	6.8%
i	831	6.6%
h	779	6.2%
q	770	6.2%
n	734	5.9%
m	701	5.6%
e	679	5.4%
d	563	4.5%
Other values (16)	4051	32.4%

Uppercase Letter

Value	Count	Frequency (%)
B	1429	8.3%
W	1281	7.4%
J	1206	7.0%
T	1015	5.9%
E	952	5.5%
D	928	5.4%
L	906	5.2%
H	858	5.0%
C	850	4.9%
I	821	4.7%
Other values (16)	7040	40.7%

Decimal Number

Value	Count	Frequency (%)
8	1211	22.3%
3	931	17.2%
4	723	13.3%
7	566	10.4%
6	470	8.7%
1	453	8.4%
0	372	6.9%
2	282	5.2%
9	222	4.1%
5	192	3.5%

Other Punctuation

Value	Count	Frequency (%)
/	1491	100.0%

Math Symbol

Value	Count	Frequency (%)
+	724	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	333	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29806	78.9%
Common	7970	21.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	1569	5.3%
B	1429	4.8%
W	1281	4.3%
J	1206	4.0%
T	1015	3.4%
u	991	3.3%
E	952	3.2%
D	928	3.1%
L	906	3.0%
H	858	2.9%
Other values (42)	18671	62.6%

Common

Value	Count	Frequency (%)
/	1491	18.7%
8	1211	15.2%
3	931	11.7%
+	724	9.1%
4	723	9.1%
7	566	7.1%
6	470	5.9%
1	453	5.7%
0	372	4.7%
-	333	4.2%
Other values (3)	696	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37776	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	1569	4.2%
/	1491	3.9%
B	1429	3.8%
W	1281	3.4%
8	1211	3.2%
J	1206	3.2%
T	1015	2.7%
u	991	2.6%
E	952	2.5%
3	931	2.5%
Other values (55)	25700	68.0%

Auto

Heatmap
Table

	fullVisitorId	onPageTime	nextTime	user_active_days	total_visit_counts	total_unique_session	total_time_spent	time_spent_per_session	timeOnPage	AudienceID	LotameID	y	Name	browser	operatingSystem	operatingSystemVersion	isMobile	mobileDeviceBranding	mobileDeviceModel	mobileDeviceInfo	mobileDeviceMarketingName	screenResolution	language	subContinent	country	region	city	sub_sec	GAClientId	cookie_id
fullVisitorId	1.000	0.162	0.005	-0.211	0.848	-0.209	0.787	0.055	-0.192	0.909	0.993	0.909	0.909	0.617	0.566	0.479	0.566	0.464	0.984	0.936	0.894	0.850	0.341	0.503	0.622	0.640	0.719	0.314	0.993	0.991
onPageTime	0.162	1.000	0.801	0.023	0.212	0.023	0.245	0.548	-0.109	0.132	0.088	0.132	0.132	0.090	0.177	0.014	0.177	0.053	0.000	0.046	0.041	0.114	0.061	0.095	0.098	0.073	0.165	0.142	0.088	0.069
nextTime	0.005	0.801	1.000	0.015	0.065	0.015	0.154	0.697	0.316	0.197	0.142	0.197	0.197	0.221	0.181	0.066	0.181	0.080	0.111	0.121	0.116	0.153	0.062	0.033	0.175	0.099	0.175	0.124	0.142	0.132
user_active_days	-0.211	0.023	0.015	1.000	0.022	1.000	-0.040	-0.027	0.079	0.919	0.965	0.919	0.919	0.699	0.753	0.451	0.753	0.652	0.931	0.900	0.871	0.842	0.510	0.579	0.816	0.616	0.697	0.396	0.965	0.963
total_visit_counts	0.848	0.212	0.065	0.022	1.000	0.021	0.934	0.146	-0.152	0.907	0.977	0.907	0.907	0.968	0.750	0.400	0.750	0.551	0.932	0.910	0.900	0.903	0.399	0.401	0.761	0.644	0.742	0.382	0.977	0.975
total_unique_session	-0.209	0.023	0.015	1.000	0.021	1.000	-0.041	-0.024	0.078	0.716	0.977	0.716	0.716	0.788	0.666	0.368	0.666	0.555	0.947	0.920	0.908	0.873	0.415	0.568	0.493	0.564	0.688	0.451	0.977	0.975
total_time_spent	0.787	0.245	0.154	-0.040	0.934	-0.041	1.000	0.258	-0.090	0.661	0.972	0.661	0.661	0.511	0.340	0.430	0.340	0.539	0.965	0.889	0.966	0.901	0.444	0.585	0.492	0.770	0.826	0.442	0.972	0.971
time_spent_per_session	0.055	0.548	0.697	-0.027	0.146	-0.024	0.258	1.000	0.172	0.314	0.274	0.314	0.314	0.322	0.303	0.117	0.303	0.155	0.216	0.225	0.218	0.267	0.128	0.364	0.370	0.212	0.337	0.160	0.274	0.268
timeOnPage	-0.192	-0.109	0.316	0.079	-0.152	0.078	-0.090	0.172	1.000	0.166	0.155	0.166	0.166	0.292	0.000	0.087	0.000	0.115	0.163	0.160	0.161	0.141	0.000	0.029	0.241	0.117	0.123	0.190	0.155	0.145
AudienceID	0.909	0.132	0.197	0.919	0.907	0.716	0.661	0.314	0.166	1.000	0.992	1.000	1.000	0.441	0.585	0.541	0.585	0.643	0.984	0.976	0.961	0.945	0.454	0.279	0.515	0.853	0.916	0.300	0.992	0.990
LotameID	0.993	0.088	0.142	0.965	0.977	0.977	0.972	0.274	0.155	0.992	1.000	0.992	0.992	0.992	0.991	0.993	0.991	0.994	1.000	0.998	0.998	0.996	0.828	0.973	0.983	0.909	0.840	0.313	1.000	0.998
y	0.909	0.132	0.197	0.919	0.907	0.716	0.661	0.314	0.166	1.000	0.992	1.000	1.000	0.441	0.585	0.541	0.585	0.643	0.984	0.976	0.961	0.945	0.454	0.279	0.515	0.853	0.916	0.300	0.992	0.990
Name	0.909	0.132	0.197	0.919	0.907	0.716	0.661	0.314	0.166	1.000	0.992	1.000	1.000	0.441	0.585	0.541	0.585	0.643	0.984	0.976	0.961	0.945	0.454	0.279	0.515	0.853	0.916	0.300	0.992	0.990
browser	0.617	0.090	0.221	0.699	0.968	0.788	0.511	0.322	0.292	0.441	0.992	0.441	0.441	1.000	0.069	0.408	0.069	0.598	0.984	0.984	0.985	0.932	0.189	0.014	0.653	0.693	0.706	0.199	0.992	0.990
operatingSystem	0.566	0.177	0.181	0.753	0.750	0.666	0.340	0.303	0.000	0.585	0.991	0.585	0.585	0.069	1.000	0.559	0.996	1.000	1.000	0.993	1.000	0.996	0.220	0.426	0.437	0.555	0.838	0.283	0.991	0.990
operatingSystemVersion	0.479	0.014	0.066	0.451	0.400	0.368	0.430	0.117	0.087	0.541	0.993	0.541	0.541	0.408	0.559	1.000	0.559	0.623	0.995	0.890	0.791	0.621	0.406	0.228	0.431	0.476	0.669	0.211	0.993	0.992
isMobile	0.566	0.177	0.181	0.753	0.750	0.666	0.340	0.303	0.000	0.585	0.991	0.585	0.585	0.069	0.996	0.559	1.000	1.000	1.000	0.993	1.000	0.996	0.220	0.426	0.437	0.555	0.838	0.283	0.991	0.990
mobileDeviceBranding	0.464	0.053	0.080	0.652	0.551	0.555	0.539	0.155	0.115	0.643	0.994	0.643	0.643	0.598	1.000	0.623	1.000	1.000	0.995	0.995	0.807	0.721	0.520	1.000	0.835	0.556	0.562	0.446	0.994	0.993
mobileDeviceModel	0.984	0.000	0.111	0.931	0.932	0.947	0.965	0.216	0.163	0.984	1.000	0.984	0.984	0.984	1.000	0.995	1.000	0.995	1.000	1.000	0.999	0.996	0.808	1.000	0.971	0.953	0.848	0.344	1.000	0.998
mobileDeviceInfo	0.936	0.046	0.121	0.900	0.910	0.920	0.889	0.225	0.160	0.976	0.998	0.976	0.976	0.984	0.993	0.890	0.993	0.995	1.000	1.000	0.999	0.896	0.810	0.419	0.748	0.732	0.688	0.325	0.998	0.997
mobileDeviceMarketingName	0.894	0.041	0.116	0.871	0.900	0.908	0.966	0.218	0.161	0.961	0.998	0.961	0.961	0.985	1.000	0.791	1.000	0.807	0.999	0.999	1.000	0.917	0.720	1.000	0.972	0.949	0.844	0.344	0.998	0.997
screenResolution	0.850	0.114	0.153	0.842	0.903	0.873	0.901	0.267	0.141	0.945	0.996	0.945	0.945	0.932	0.996	0.621	0.996	0.721	0.996	0.896	0.917	1.000	0.539	0.977	0.933	0.720	0.610	0.284	0.996	0.994
language	0.341	0.061	0.062	0.510	0.399	0.415	0.444	0.128	0.000	0.454	0.828	0.454	0.454	0.189	0.220	0.406	0.220	0.520	0.808	0.810	0.720	0.539	1.000	0.086	0.210	0.394	0.462	0.241	0.828	0.826
subContinent	0.503	0.095	0.033	0.579	0.401	0.568	0.585	0.364	0.029	0.279	0.973	0.279	0.279	0.014	0.426	0.228	0.426	1.000	1.000	0.419	1.000	0.977	0.086	1.000	1.000	0.998	0.978	0.442	0.973	0.972
country	0.622	0.098	0.175	0.816	0.761	0.493	0.492	0.370	0.241	0.515	0.983	0.515	0.515	0.653	0.437	0.431	0.437	0.835	0.971	0.748	0.972	0.933	0.210	1.000	1.000	0.998	0.987	0.362	0.983	0.981
region	0.640	0.073	0.099	0.616	0.644	0.564	0.770	0.212	0.117	0.853	0.909	0.853	0.853	0.693	0.555	0.476	0.555	0.556	0.953	0.732	0.949	0.720	0.394	0.998	0.998	1.000	0.996	0.288	0.909	0.907
city	0.719	0.165	0.175	0.697	0.742	0.688	0.826	0.337	0.123	0.916	0.840	0.916	0.916	0.706	0.838	0.669	0.838	0.562	0.848	0.688	0.844	0.610	0.462	0.978	0.987	0.996	1.000	0.288	0.840	0.838
sub_sec	0.314	0.142	0.124	0.396	0.382	0.451	0.442	0.160	0.190	0.300	0.313	0.300	0.300	0.199	0.283	0.211	0.283	0.446	0.344	0.325	0.344	0.284	0.241	0.442	0.362	0.288	0.288	1.000	0.313	0.273
GAClientId	0.993	0.088	0.142	0.965	0.977	0.977	0.972	0.274	0.155	0.992	1.000	0.992	0.992	0.992	0.991	0.993	0.991	0.994	1.000	0.998	0.998	0.996	0.828	0.973	0.983	0.909	0.840	0.313	1.000	0.998
cookie_id	0.991	0.069	0.132	0.963	0.975	0.975	0.971	0.268	0.145	0.990	0.998	0.990	0.990	0.990	0.990	0.992	0.990	0.993	0.998	0.997	0.997	0.994	0.826	0.972	0.981	0.907	0.838	0.273	0.998	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	AudienceID	LotameID	y	Name	Type	fullVisitorId	browser	operatingSystem	operatingSystemVersion	isMobile	mobileDeviceBranding	mobileDeviceModel	mobileInputSelector	mobileDeviceInfo	mobileDeviceMarketingName	screenResolution	language	continent	subContinent	country	region	city	sec	sub_sec	pageTitle	url	onPageTime	nextTime	user_active_days	total_visit_counts	total_unique_session	total_time_spent	time_spent_per_session	timeOnPage	GAClientId	cookie_id
603	818744	cbb561a1af5a40eb684d55a8c0b2047a	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	10531342589549778032	Chrome	Android	8.1.0	True	Xiaomi	Redmi 6A	touchscreen	Xiaomi Redmi 6A	(not set)	360x720	en-us	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/video-nak-marah-tapi-kena-sabar-anak-diam-rupanya-masuk-sangkar-kucing	NaN	[VIDEO] Nak Marah Tapi Kena Sabar, Anak Diam Rupanya Masuk Sangkar Kucing	https://ohbulan.com/video-nak-marah-tapi-kena-sabar-anak-diam-rupanya-masuk-sangkar-kucing	0	91472	5	43	5	735.0	154.0	91472	amp-35vZcqfyySaxus6_748cgw	IhHSD5tP1NnqeA1g
604	818744	cbb561a1af5a40eb684d55a8c0b2047a	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	10531342589549778032	Chrome	Android	8.1.0	True	Xiaomi	Redmi 6A	touchscreen	Xiaomi Redmi 6A	(not set)	360x720	en-us	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi	NaN	Suami Jual Isteri, Peroleh Hampir RM3k Sebulan – 'Saya Sakit Hati Tengok Dia Lakukan Hubungan Intim Tapi..'	https://ohbulan.com/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi	91472	103015	5	43	5	735.0	154.0	11543	amp-35vZcqfyySaxus6_748cgw	IhHSD5tP1NnqeA1g
605	818744	cbb561a1af5a40eb684d55a8c0b2047a	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	10531342589549778032	Chrome	Android	8.1.0	True	Xiaomi	Redmi 6A	touchscreen	Xiaomi Redmi 6A	(not set)	360x720	en-us	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi	NaN	Suami Jual Isteri, Peroleh Hampir RM3k Sebulan – 'Saya Sakit Hati Tengok Dia Lakukan Hubungan Intim Tapi..'	https://ohbulan.com/suami-jual-isteri-peroleh-hampir-rm3k-sebulan-saya-sakit-hati-tengok-dia-lakukan-hubungan-intim-tapi	103015	143773	5	43	5	735.0	154.0	40758	amp-35vZcqfyySaxus6_748cgw	IhHSD5tP1NnqeA1g
1844	809023	e74bb87a1abb30abf105f2900a65e842	5000	RMG - 1PD - Declared - HHI - RM1.5K - RM5K\t	HHI	1158781765718776901	Chrome	Windows	7	False	NaN	NaN	NaN	(not set)	NaN	1600x900	en-us	Asia	Southeast Asia	Malaysia	Selangor	Batu Caves	/rakyat-malaysia-maut-dibunuh-di-australia-didakwa-jadi-penjaga-1000-pokok-ganja-bagi-kumpulan-jenayah	NaN	Rakyat Malaysia Maut 'Dibunuh' Di Australia, Didakwa Jadi Penjaga 1,000 Pokok Ganja Bagi Kumpulan Jenayah	https://ohbulan.com/rakyat-malaysia-maut-dibunuh-di-australia-didakwa-jadi-penjaga-1000-pokok-ganja-bagi-kumpulan-jenayah	0	126729	5	237	8	1385.0	217.0	126729	269799904.1574837317	7Zr54t-YOVCMSUWw
1845	809023	e74bb87a1abb30abf105f2900a65e842	5000	RMG - 1PD - Declared - HHI - RM1.5K - RM5K\t	HHI	1158781765718776901	Chrome	Windows	7	False	NaN	NaN	NaN	(not set)	NaN	1600x900	en-us	Asia	Southeast Asia	Malaysia	Selangor	Batu Caves	/datuk-74-tahun-maut-selepas-tunai-hajat-di-rumah-pelacuran-polis-jumpa-ubat-kuat	NaN	Datuk 74 Tahun Maut Selepas Tunai 'Hajat' Di Rumah Pelacuran, Polis Jumpa Ubat Kuat	https://ohbulan.com/datuk-74-tahun-maut-selepas-tunai-hajat-di-rumah-pelacuran-polis-jumpa-ubat-kuat	126729	207157	5	237	8	1385.0	217.0	80428	269799904.1574837317	7Zr54t-YOVCMSUWw
1846	809023	e74bb87a1abb30abf105f2900a65e842	5000	RMG - 1PD - Declared - HHI - RM1.5K - RM5K\t	HHI	1158781765718776901	Chrome	Windows	7	False	NaN	NaN	NaN	(not set)	NaN	1600x900	en-us	Asia	Southeast Asia	Malaysia	Selangor	Batu Caves	/berlaku-pendarahan-tisu-koyak-keputusan-bedah-siasat-kali-kedua-sahkan-luka-paha-kanan-tangmo-terjadi-sebelum-kematian	NaN	Berlaku Pendarahan & Tisu Koyak, Keputusan Awal Bedah Siasat Kedua Sahkan Luka Paha Kanan Tangmo Terjadi Sebelum Kematian	https://ohbulan.com/berlaku-pendarahan-tisu-koyak-keputusan-bedah-siasat-kali-kedua-sahkan-luka-paha-kanan-tangmo-terjadi-sebelum-kematian	44441	142871	5	237	8	1385.0	203.0	98430	269799904.1574837317	7Zr54t-YOVCMSUWw
4079	818744	78667affe553713e0aed6c72e0eadc9f	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	1316008586946977000	Chrome	Android	9	True	Samsung	SM-J730G	touchscreen	Samsung SM-J730G Galaxy J7 (2017)	Galaxy J7 (2017)	412x732	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/news/	/nation/	Rising costs push up buffet prices	https://www.nst.com.my/news/nation/2022/04/787223/rising-costs-push-buffet-prices	3368	169647	7	413	8	1970.0	170.0	166279	306407126.1515625704	gya7xSV0gWTO5EBb
4080	818744	78667affe553713e0aed6c72e0eadc9f	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	1316008586946977000	Chrome	Android	9	True	Samsung	SM-J730G	touchscreen	Samsung SM-J730G Galaxy J7 (2017)	Galaxy J7 (2017)	412x732	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/news/	/nation/	Speculations over Tengku Zafrul's 'resignation' answered	https://www.nst.com.my/news/nation/2022/03/782746/speculations-over-tengku-zafruls-resignation-answered	4053	671784	7	413	8	1970.0	672.0	667731	306407126.1515625704	gya7xSV0gWTO5EBb
4945	809024	debc5687c4f166fba9ae0f460f4484a	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	1345556031535805740	Chrome	Android	9	True	Asus	X00TD	touchscreen	Asus X00TD Zenfone Max Pro (M1) ZB601KL	Zenfone Max Pro (M1) ZB601KL	360x720	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/video-bekas-juara-hero-remaja-teruskan-karier-demi-impian-ibu-tercinta	NaN	[VIDEO] Bekas Juara Hero Remaja Teruskan Karier Demi Impian Ibu Tercinta	https://ohbulan.com/video-bekas-juara-hero-remaja-teruskan-karier-demi-impian-ibu-tercinta	0	29241	10	1123	12	1768.0	34.0	29241	amp-jVimM0G9J9SlML2eQ53vcC_UUDM3RO4vtxYz2L7jrewuTtmZh1DNqghBK6aA4rav	vznB7rLMv2lasMz5
4946	809024	debc5687c4f166fba9ae0f460f4484a	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	1345556031535805740	Chrome	Android	9	True	Asus	X00TD	touchscreen	Asus X00TD Zenfone Max Pro (M1) ZB601KL	Zenfone Max Pro (M1) ZB601KL	360x720	en-gb	Asia	Southeast Asia	Malaysia	Selangor	Ampang Jaya	/video-aedy-ashraf-buat-kejutan-lamar-amelia-henderson-depan-peminat-2-tahun-saya-tunggu-awak	NaN	[VIDEO] Aedy Ashraf Buat Kejutan, Lamar Amelia Henderson Depan Peminat – '2 Tahun Saya Tunggu Awak'	https://ohbulan.com/video-aedy-ashraf-buat-kejutan-lamar-amelia-henderson-depan-peminat-2-tahun-saya-tunggu-awak	0	74156	10	1123	12	1768.0	131.0	74156	amp-jVimM0G9J9SlML2eQ53vcC_UUDM3RO4vtxYz2L7jrewuTtmZh1DNqghBK6aA4rav	vznB7rLMv2lasMz5

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88331	818744	f301629668799c18317f0efd9ae7da61	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	9121685818671703657	Chrome	Android	9	True	Razer	Phone 2	touchscreen	Razer Phone 2	(not set)	480x854	ms	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/doktor-masih-tak-dapat-penyelesaian-amyra-rosli-jatuh-sakit-sampai-kaki-bengkak-amar-baharin-minta-orang-ramai-kongsi-cara-rawatan	NaN	'Doktor Masih Tak Dapat Penyelesaian' – Amyra Rosli Jatuh Sakit Sampai Kaki Bengkak, Amar Baharin Minta Orang Ramai Kongsi Cara Rawatan	https://ohbulan.com/doktor-masih-tak-dapat-penyelesaian-amyra-rosli-jatuh-sakit-sampai-kaki-bengkak-amar-baharin-minta-orang-ramai-kongsi-cara-rawatan	0	79507	11	226	16	11206.0	148.0	79507	2123807980.1587881577	lrD3OVThuKF+rJiL
88332	818744	f301629668799c18317f0efd9ae7da61	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	9121685818671703657	Chrome	Android	9	True	Razer	Phone 2	touchscreen	Razer Phone 2	(not set)	480x854	ms	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/kantoi-masuk-bilik-tidur-anak-tiri-isteri-tetak-kemaluan-suami-lepas-tengok-rakaman-web-cam	NaN	Kantoi Masuk Bilik Tidur Anak Tiri, Isteri Tetak Kemaluan Suami Lepas Tengok Rakaman 'Web Cam'	https://ohbulan.com/kantoi-masuk-bilik-tidur-anak-tiri-isteri-tetak-kemaluan-suami-lepas-tengok-rakaman-web-cam	79507	89962	11	226	16	11206.0	148.0	10455	2123807980.1587881577	lrD3OVThuKF+rJiL
88333	818744	f301629668799c18317f0efd9ae7da61	0	RMG - 1PD - Declared - HHI - <RM1,500\t	HHI	9121685818671703657	Chrome	Android	9	True	Razer	Phone 2	touchscreen	Razer Phone 2	(not set)	480x854	ms	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/kantoi-masuk-bilik-tidur-anak-tiri-isteri-tetak-kemaluan-suami-lepas-tengok-rakaman-web-cam	NaN	Kantoi Masuk Bilik Tidur Anak Tiri, Isteri Tetak Kemaluan Suami Lepas Tengok Rakaman 'Web Cam'	https://ohbulan.com/kantoi-masuk-bilik-tidur-anak-tiri-isteri-tetak-kemaluan-suami-lepas-tengok-rakaman-web-cam	89962	148330	11	226	16	11206.0	148.0	58368	2123807980.1587881577	lrD3OVThuKF+rJiL
89893	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/news/	/nation/	Covid-19: Health Ministry reports more recoveries than new infections	https://www.nst.com.my/news/nation/2022/03/784460/covid-19-health-ministry-reports-more-recoveries-new-infections	3183	483322	15	313	19	9295.0	483.0	480139	22597594.1592093636	13iqyWv/9MLXoQl5
89894	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/business/	/2022/	Surging semiconductor ASPs, higher oil prices to boost DNeX's earnings	https://www.nst.com.my/business/2022/03/782976/surging-semiconductor-asps-higher-oil-prices-boost-dnexs-earnings	2585	1820458	15	313	19	9295.0	1985.0	1817873	22597594.1592093636	13iqyWv/9MLXoQl5
89895	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/business/	/2022/	'Let market forces decide Sapura Energy's fate'	https://www.nst.com.my/business/2022/03/782967/let-market-forces-decide-sapura-energys-fate	1820458	1984738	15	313	19	9295.0	1985.0	164280	22597594.1592093636	13iqyWv/9MLXoQl5
89896	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Selangor	Shah Alam	/news/	/nation/	Malaysia 'happier' than China but not as 'happy' as Singapore	https://www.nst.com.my/news/nation/2022/03/781349/malaysia-happier-china-not-happy-singapore	667	585829	15	313	19	9295.0	586.0	585162	22597594.1592093636	13iqyWv/9MLXoQl5
89897	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/business/	/2022/	Surging semiconductor ASPs, higher oil prices to boost DNeX's earnings	https://www.nst.com.my/business/2022/03/782976/surging-semiconductor-asps-higher-oil-prices-boost-dnexs-earnings	2841	36937	15	313	19	9295.0	244.0	34096	22597594.1592093636	13iqyWv/9MLXoQl5
89898	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/business/	/2022/	Surging semiconductor ASPs, higher oil prices to boost DNeX's earnings	https://www.nst.com.my/business/2022/03/782976/surging-semiconductor-asps-higher-oil-prices-boost-dnexs-earnings	36937	84422	15	313	19	9295.0	244.0	47485	22597594.1592093636	13iqyWv/9MLXoQl5
89899	809024	90d7f925b2f2bc418ab77befee9a4106	10000	RMG - 1PD - Declared - HHI - RM5k - 10k+\t	HHI	97055928790379460	Chrome	Android	10	True	Huawei	EML-L29	touchscreen	Huawei EML-L29 P20	P20	320x665	en-gb	Asia	Southeast Asia	Malaysia	Federal Territory of Kuala Lumpur	Kuala Lumpur	/business/	/2022/	Surging semiconductor ASPs, higher oil prices to boost DNeX's earnings	https://www.nst.com.my/business/2022/03/782976/surging-semiconductor-asps-higher-oil-prices-boost-dnexs-earnings	84422	244137	15	313	19	9295.0	244.0	159715	22597594.1592093636	13iqyWv/9MLXoQl5

Overview

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Most frequent character per script

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ASCII

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Length

Most occurring characters

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Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

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Common Values

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Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

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Math Symbol

Other Punctuation

Space Separator

Dash Punctuation

Control

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters